The main purpose of the study is to understand the mathematical problem-solving strategies among student teachers. This study used both quantitative and qualitative type of research. Aside from the semi-structured interviews, data were gathered through participant's actual mathematical problem-solving outputs and the videotaped interviews. Findings revealed that the problem-solving strategies among student teachers in the Problem-Solving subject are cognitive, metacognitive and other strategies. The cognitive strategies used by the student teachers are rehearsal, (...) elaboration, and organization. The metacognitive strategies are critical thinking and self-regulation. Other strategies are overlapping the cognitive and metacognitive strategies. These are prediction/orientation, planning, monitoring, and evaluating. The findings also suggest a significant influence of the strategies to the academic performance of the student teachers. (shrink)

Metacognitive skills are essential to be developed by the students to help improve their academic performance. This study was conducted with the aim of determining whether the use of problem-solving strategies can increase students' metacognitive skills. Students of the Mathematics in the World course offered at a local college in the Philippines were selected to participate in this study. Using an independent sample t-test, results revealed that students who were the recipients of problem-solving strategies scored statistically (...) higher in formal examinations compared to those students who were taught using conventional strategies. The researchers concluded that students who were taught using the problem-solving strategy enhanced their metacognitive skills based on their scores in the test of metacognitive skills during the post-test. The researchers suggested that teachers should incorporate problem-solving strategies into their lessons since this research demonstrates this to be an effective strategy for enhancing students' metacognitive skills essential to their learning. (shrink)

Abstract. Competition between developed and developing countries in developing the defense industry in the era of globalization has crossed the boundaries of a country's alliances. However, in the transfer of technology (ToT) process, it remains the object of domination by large countries, and developing countries remain confined in a rigid bureaucracy. Researchers offer a problem-solving approach to developing the defense industry experienced by developing countries. The researcher's first step describes the bureaucracy of developing countries, and then the researcher (...) projects the development of a strategy as a solution. The researcher realizes that the trial and error approach offered by Karl R. Popper demands further testing, so the researcher also explains the weaknesses of the solutions offered. The researcher concludes that the Problem-Solving approach can solve problems and anticipate problems. Problem-Solving is no longer seen as containing a simple method but an epistemology; Solutions appear before the problem itself appears. The researcher corrected the problem- solving position, as explained by Ian Angus, who moved from one line to a new line continuously. Researchers see not moving lines and continuing but reality entering a broader flow. (shrink)

Marr’s seminal distinction between computational, algorithmic, and implementational levels of analysis has inspired research in cognitive science for more than 30 years. According to a widely-used paradigm, the modelling of cognitive processes should mainly operate on the computational level and be targeted at the idealised competence, rather than the actual performance of cognisers in a specific domain. In this paper, we explore how this paradigm can be adopted and revised to understand mathematical problem solving. The computational-level approach applies (...) methods from computational complexity theory and focuses on optimal strategies for completing cognitive tasks. However, human cognitive capacities in mathematical problem solving are essentially characterised by processes that are computationally sub-optimal, because they initially add to the computational complexity of the solutions. Yet, these solutions can be optimal for human cognisers given the acquisition and enactment of mathematical practices. Here we present diagrams and the spatial manipulation of symbols as two examples of problem solving strategies that can be computationally sub-optimal but humanly optimal. These aspects need to be taken into account when analysing competence in mathematical problem solving. Empirically informed considerations on enculturation can help identify, explore, and model the cognitive processes involved in problem solving tasks. The enculturation account of mathematical problem solving strongly suggests that computational-level analyses need to be complemented by considerations on the algorithmic and implementational levels. The emerging research strategy can help develop algorithms that model what we call enculturated cognitive optimality in an empirically plausible and ecologically valid way. (shrink)

We investigate flexibility and problem solving in skilled action. We conducted a field study of mountain bike riding that required a learner rider to cope with major changes in technique and equipment. Our results indicate that relatively inexperienced individuals can be capable of fairly complex 'on-the-fly' problem solving which allows them to cope with new conditions. This problem solving is hard to explain for classical theories of skill because the adjustments are too large to (...) be achieved by automatic mechanisms and too complex and rapid to be achieved by cognitive processes as they are usually understood. A recent theory, Mesh, can explain these results because it posits that skill-specific cognitive abilities develop during skill learning and that control typically involves an interplay between cognitive and automatic mechanisms. Here we develop Mesh further, providing a detailed explanation for these problem solving abilities. We argue that causal representation, metacognitive awareness and other forms of performance awareness combine in the formulation and control of action strategies. We also argue that the structure of control present in this case is inconsistent with Bratman's model of intentions, and that, in the face of high uncertainty and risk, intentions can be much more labile than Bratman recognises. In addition, we found limitations and flaws in problem solving which illuminate the representations involved. Finally, we highlight the crucial role of social and cultural learning in the development of complex skills. (shrink)

Much problem solving and learning research in math and science has focused on formal representations. Recently researchers have documented the use of unschooled strategies for solving daily problems -- informal strategies which can be as effective, and sometimes as sophisticated, as school-taught formalisms. Our research focuses on how formal and informal strategies interact in the process of doing and learning mathematics. We found that combining informal and formal strategies is more effective than single strategies. We provide a (...) theoretical account of this multiple strategy effect and have begun to formulate this theory in an ACT-R computer model. We show why students may reach common impasses in the use of written algebra, and how subsequent or concurrent use of informal strategies leads to better problem-solving performance. Formal strategies facilitate computation because of their abstract and syntactic nature; however, abstraction can lead to nonsensical interpretations and conceptual errors. Reapplying the formal strategy will not repair such errors; switching to an informal one may. We explain the multiple strategy effect as a complementary relationship between the computational efficiency of formal strategies and the sense-making function of informal strategies. (shrink)

Metacognition-related studies do often give focus on the regulation or experience components but little on the knowledge component. In particular and especially within the Philippine context, not much focus is given with regards to a clear and coherent academic framework that fortifies the metacognitive strategy knowledge in mathematical problem solving amongst students. Using an evolved grounded theory, the purpose of this study is to look closely into the metacognitive strategy knowledge of preservice teacher education students. Twenty-three (...) students participated and initial data were collected using the prepared problem solving test. Subsequently, interviews were conducted to supplement the initial data. Pandit’s grounded theory methodology and the constant comparison method were used to analyze the data collected. Findings revealed an emerging three-phased categorization of metacognitive strategy knowledge thru problem solving: preparatory, production, and evaluation. The multi-distinct yet related categorization were neither linear nor just cyclic in nature but is experienced and underwent by problem solvers with varying degree of creativity and flexibility depending on the problem at hand, beliefs, attitudes, and learning style. The findings shed some light on the distinct role of metacognitive strategy knowledge and some ensuing factors during authentic problem solving. (shrink)

The assumption that positive affect leads to a better performance in simple cognitive tasks has become well established. We address the question whether positive and negative emotions differentially influence performance in complex problem-solving in the same way. Emotions were induced by positive or negative feedback in 74 participants who had to manage a computer-simulated complex problem-solving scenario. Results show that overall scenario performance is not affected, but positive and negative emotions elicit distinguishable problem-solving strategies: (...) Participants with negative emotions are more focused on the seeking and use of information. We discuss methodological requirements for investigating emotion influences in complex and dynamic cognitive tasks. (shrink)

The assumption that positive affect leads to a better performance in simple cognitive tasks has become well established. We address the question whether positive and negative emotions differentially influence performance in complex problem-solving in the same way. Emotions were induced by positive or negative feedback in 74 participants who had to manage a computer-simulated complex problem-solving scenario. Results show that overall scenario performance is not affected, but positive and negative emotions elicit distinguishable problem-solving strategies: (...) Participants with negative emotions are more focused on the seeking and use of information. We discuss methodological requirements for investigating emotion influences in complex and dynamic cognitive tasks. (shrink)

One paradigmatic argument from evil against theism claims that, (1) if God exists, then there is no gratuitous evil. But (2) there is gratuitous evil, so (3) God does not exist. I consider three deontological strategies for resisting this argument. Each strategy restructures existing theodicies which deny (2) so that they instead deny (1). The first two strategies are problematic on their own, but their primary weaknesses vanish when they are combined to form the third strategy, resulting in (...) a promising new approach to the problem of evil. (shrink)

This article reviews eight proposed strategies for solving the Symbol Grounding Problem (SGP), which was given its classic formulation in Harnad (1990). After a concise introduction, we provide an analysis of the requirement that must be satisfied by any hypothesis seeking to solve the SGP, the zero semantical commitment condition. We then use it to assess the eight strategies, which are organised into three main approaches: representationalism, semi-representationalism and non-representationalism. The conclusion is that all the strategies are semantically (...) committed and hence that none of them provides a valid solution to the SGP, which remains an open problem. (shrink)

ABSTRACT It is plausible to think that we're rationally required to follow our total evidence. It is also plausible to think that there are coherence requirements on rationality. It is also plausible to think that higher order evidence can be misleading. Several epistemologists have recognized the puzzle these claims generate, and the puzzle seems to have only startling and unattractive solutions that involve the rejection of intuitive principles. Yet Alex Worsnip has recently argued that this puzzle has a tidy, attractive (...) and independently motivated solution that involves rejecting the claim that we're rationally required to follow our total evidence. In what follows I argue that this solution fails to solve the fundamental problem for rationality. (shrink)

This paper looks at three ways of addressing probabilism’s implausible requirement of logical omniscience. The first and most common strategy says it’s okay to require an ideally rational person to be logically omniscient. I argue that this view is indefensible on any interpretation of ‘ideally rational’. The second strategy says probabilism should be formulated not in terms of logically possible worlds but in terms of doxastically possible worlds, ways you think the world might be. I argue that, on (...) the interpretation of this approach that lifts the requirement of certainty in all logical truths, the view becomes vacuous, issuing no requirements on rational believers at all. Finally, I develop and endorse a new solution to the problem. This view proposes dynamic norms for reasoning with credences. The solution is based on an old proposal of Ian Hacking’s that says you’re required to be sensitive to logical facts only when you know they are logical facts. (shrink)

-/- Solving the Problem of Free Will: A Universal Formula for Societal Balance -/- Introduction -/- For thousands of years, philosophers, scientists, and scholars have debated the concept of free will without arriving at a definitive solution. The persistent societal problems we witness today—wars, poverty, crime, overpopulation—are deeply rooted in ignorance, particularly about how natural laws govern human decision-making. This essay presents a universal formula that solves the problem of free will by aligning decision-making processes with the (...) universal law of balance found in nature. This solution, if implemented through a holistic educational system, can fundamentally transform societies by eliminating the ignorance that leads to human suffering. -/- The Root of Societal Problems: Ignorance -/- Ignorance is the foundation of nearly all societal problems. Misunderstanding natural laws and disregarding the principles of balance result in poor decision-making, whether on an individual, societal, or global level. Decisions based on misinformation, false beliefs, unproven theories, or emotional biases create imbalances that manifest as societal issues. -/- Examples of Ignorance-Driven Problems: -/- 1. Wars: Wars often arise from misunderstandings, territorial greed, ideological conflicts, and the inability to find peaceful solutions. The ignorance of the law of balance—where equilibrium between differing interests is possible—leads to destruction, suffering, and loss of life. -/- 2. Poverty and Crime: Poverty is frequently the result of systemic imbalances in wealth distribution. Ignorance about how societal resources should be distributed equitably to maintain stability leads to widespread deprivation. Crime similarly stems from a lack of understanding regarding personal responsibility and societal interdependence. -/- 3. Overpopulation: In many countries, overpopulation results from the misconception that growth is inherently good. However, natural systems always maintain balance. Unregulated population growth places immense pressure on resources, leading to poverty, environmental degradation, and societal instability. -/- The Universal Formula: Three Fundamental Laws of Nature -/- This universal formula, derived from observable natural phenomena, consists of three interconnected laws: -/- 1. The Law of Karma (Cause and Effect) Every decision and action produces corresponding consequences. In nature, defective systems—whether mechanical, biological, or societal—inevitably fail. Human societies must recognize that decisions based on ignorance create systemic problems. -/- 2. The Law of Balance Nature operates through balance. From ecosystems to societal structures, stability requires equilibrium. Societal issues like poverty and crime reflect imbalances caused by ignorance of this law. -/- 3. The Law of Homeostasis Homeostasis maintains internal stability despite external changes. Societies must develop adaptive yet balanced policies to ensure long-term well-being. -/- These laws reveal that human free will is not arbitrary but governed by predictable patterns. Conscious decisions, whether individual or collective, operate like feedback loops responding to external and internal stimuli while adhering to natural laws. -/- The Role of the Educational System -/- To address ignorance effectively, societies must adopt a holistic educational system that integrates these universal laws into foundational curricula. Current education often overlooks the principles that govern human behavior and societal balance. The new system should prioritize critical thinking, scientific literacy, and moral responsibility. -/- Key Objectives of a Holistic Educational System: -/- 1. Eliminate Ignorance: Equip students with a deep understanding of natural laws and their role in decision-making. -/- 2. Promote Critical Thinking: Teach students to question information, identify biases, and recognize the long-term impacts of decisions. -/- 3. Prepare Responsible Future Generations: Produce a high-quality generation of future parents who understand the importance of balance in raising children, managing resources, and contributing to societal stability. -/- Example: Incorporating environmental science with lessons on population dynamics can help students grasp why unchecked population growth leads to resource scarcity and societal challenges. Lessons in psychology, combined with discussions about collective decision-making, can illustrate the importance of balanced, informed leadership. -/- The Misconception of Unlimited Growth -/- One of the most damaging misconceptions societies face today is the belief in continuous economic and population growth. In nature, growth is always regulated by available resources. Societies that ignore this principle face environmental destruction, social unrest, and economic instability. -/- Example: Countries experiencing rapid population growth often encounter overcrowded cities, unemployment, and resource depletion. By understanding the law of balance, policymakers can implement sustainable growth strategies, ensuring resources meet population needs without compromising long-term stability. -/- The Feedback Mechanism of Conscious Minds -/- Human decision-making, both individually and collectively, operates as a feedback mechanism. Minds continuously exchange information, influencing one another’s decisions. This interaction follows natural laws, ensuring that any deviation from balance triggers societal disruptions. -/- Example: When misinformation spreads through social media, collective decisions become skewed. Understanding the feedback mechanism can help societies implement educational strategies that foster discernment and rational decision-making. -/- The Need for’Global Collaboration -/- The successful implementation of this universal formula requires global collaboration. International organizations like the United Nations and the World Economic Forum, along with educational institutions worldwide, must prioritize the integration of these natural laws into educational frameworks. -/- Example: The Philippines, facing governance challenges and population pressures, could significantly benefit from such an educational overhaul. Similarly, China’s “whole-process people’s democracy” could incorporate these principles to enhance holistic governance strategies. -/- The Role of Artificial General Intelligence (AGI) -/- AGI, when developed with a complete sensor system, can apply the universal formula to predict and address societal problems. Programming AGI to follow these natural laws will ensure its decisions align with human well-being and societal stability. -/- Conclusion -/- Solving the problem of free will is not an abstract philosophical pursuit but a practical necessity for societal stability. Ignorance of the natural laws governing decision-making has perpetuated human suffering for centuries. The universal formula, grounded in the principles of karma, balance, and homeostasis, offers a concrete, actionable solution. By implementing this understanding through a holistic educational system, we can eliminate the root causes of wars, poverty, crime, and overpopulation. The time to act is now—before ignorance further destabilizes the delicate balance upon which our future depends. -/- . (shrink)

Solving the Turbulence Problem in Physics Using the Universal Formula -/- By Angelito Malicse -/- Introduction -/- Turbulence remains one of the greatest unsolved problems in physics. It is a chaotic, unpredictable phenomenon observed in fluid dynamics, affecting airflow over aircraft wings, ocean currents, wind energy systems, and even blood flow in the human body. Despite the well-established Navier-Stokes equations governing fluid motion, turbulence remains difficult to fully predict and control due to its inherent complexity. -/- In this (...) essay, I will demonstrate how my universal formula, based on three fundamental laws of nature, provides an exact solution to the turbulence problem. By applying these laws, we can achieve a deeper understanding of turbulence, allowing for more effective prediction, mitigation, and control in various real-world applications. -/- Understanding Turbulence in Light of the Universal Formula -/- Turbulence is a manifestation of complex interactions within a system. According to my universal formula, all systems must follow natural laws governing balance, causality, and feedback mechanisms. Let us analyze turbulence through the lens of these principles. -/- 1. The Law of Karma: Cause, Effect, and Systemic Integrity -/- The first law in my universal formula is the Law of Karma, which extends beyond the traditional idea of cause and effect to encompass the principle of systemic integrity. A system must be free from defects or errors to function properly. If turbulence occurs, it indicates an imbalance or defect within the system. -/- In fluid dynamics, turbulence arises when the cause (flow conditions) leads to an unstable effect (chaotic motion). This imbalance can be seen in: -/- Aircraft aerodynamics, where airflow disruptions create drag and instability. -/- Wind turbines, where turbulent wind patterns reduce energy efficiency. -/- Maritime navigation, where water turbulence increases resistance and fuel consumption. -/- Applying the Law of Karma, turbulence can be controlled by designing systems that minimize defects, ensuring smooth energy transfer within the flow. AI-driven optimization can detect turbulence before it fully develops, correcting imbalances through real-time adjustments. -/- 2. The Law of Balance in Nature -/- The second law states that all natural systems seek balance. Turbulence arises when the energy distribution in a fluid system becomes uneven, disrupting the balance. This is seen in: -/- Boundary layers on aircraft wings, where pressure imbalances lead to turbulence. -/- Ocean currents, where temperature and salinity differences create unstable vortices. -/- To control turbulence, we must restore balance in the system. This can be achieved through: -/- Dynamic flow control, using AI to adjust surfaces (such as aircraft flaps or turbine blades) in real time. -/- Energy redistribution, ensuring fluid motion remains stable by adjusting velocity gradients or temperature differences. -/- Feedback-based corrections, applying intelligent algorithms that predict and counteract turbulence. -/- By harmonizing energy distribution, we can prevent turbulence from escalating, bringing the system back into natural equilibrium. -/- 3. The Law of Feedback Regulation -/- The third law states that all systems operate through feedback mechanisms. Turbulence, despite appearing chaotic, follows a pattern that can be measured, analyzed, and corrected through continuous feedback. -/- Birds adjust their wing angles dynamically to minimize turbulence, an example of natural feedback control. -/- Fish use their fins to counteract water turbulence, stabilizing their movement. -/- AI systems can mimic these natural mechanisms to adjust airflow, ship navigation, or wind turbine performance. -/- Applying the Law of Feedback Regulation, we can create AI-driven turbulence control systems that: -/- Predict turbulence using real-time sensor data. -/- Adjust system parameters dynamically to reduce turbulence intensity. -/- Continuously learn and improve based on new turbulence patterns. -/- This approach follows nature’s own strategy for stability, aligning technology with fundamental natural principles. -/- Applying the Universal Formula to Solve Turbulence -/- By integrating the three universal laws, we can develop a Unified AI-Driven Turbulence Control System applicable to multiple fields: -/- ✅ Aviation: AI-based wing and engine adjustments to minimize drag. ✅ Maritime Transport: Smart hull designs to reduce water resistance. ✅ Wind Energy: Adaptive wind turbine blades for optimal efficiency. ✅ Medical Applications: AI-assisted blood flow regulation to prevent clot formation. -/- This system ensures real-time adaptation, aligning human technology with nature’s fundamental laws. -/- Conclusion -/- The turbulence problem in physics, long considered unsolvable, is fundamentally a problem of imbalance, defective systems, and insufficient feedback control. By applying my universal formula, which follows the natural laws of karma (causality), balance, and feedback, we can fully understand, predict, and control turbulence in all systems. -/- Through AI-driven optimization, dynamic corrections, and harmonizing energy flow, we can finally resolve turbulence across aviation, maritime, wind energy, and even biological systems. My universal formula provides the exact and only solution to this problem, proving that all complex phenomena in nature can be understood through fundamental natural laws. -/- By implementing these principles, we take a step toward a future where turbulence is no longer an obstacle, but a controlled phenomenon guided by nature’s own balance. -/- . (shrink)

Trigonometry serves as an important precursor to calculus as well as college level courses. However, a possible factor that affects students from learning is teachers’ strategies in teaching. Several studies reveal that cooperative learning such as study group can increase achievement of students in mathematics. This study focused on the effects of study groups on the grade 9 students’ achievement in trigonometric problems. It sought to identify the achievement of the students in problem solving before and after the (...) interventions and to compare the interventions, the group taught with study groups and taught with the existing method. The study used true experimental design particularly pretest-posttest control group design. The study was analyzed through frequency count and percentage of scores, Wilcoxon rank test, and t-test for independents samples. The subjects of the study were the Grade 9 students in a public high school in Nueva Vizcaya, Philippines. The results revealed that majority of the students’ achievements increased. Moreover, the intervention with a study group and the existing method can improve the students’ performance in solving trigonometric problems. Furthermore, the result suggests that study group method was more effective than the existing method. (shrink)

What is a woman? The definition of this central concept of feminism has lately become especially controversial and politically charged. “Ameliorative Inquirists” have rolled up their sleeves to reengineer our ordinary concept of womanhood, with a goal of including in the definition all and only those who identify as women, both “cis” and “trans.” This has proven to be a formidable challenge. Every proposal so far has failed to draw the boundaries of womanhood in a way acceptable to the Ameliorative (...) Inquirists, since not all those who identify as women count as women on these proposals, and some who count as women on these proposals don’t identify as women. This is the Trans Inclusion Problem. Is there any solution? Can there be? Recently, Katharine Jenkins, pointing to the work of Mari Mikkola, suggests that the Trans Inclusion Problem can be “deflated” rather than solved. We will investigate this proposal, and show that, unfortunately, Jenkins is mistaken: Mikkola’s project will not help us answer the Trans Inclusion Problem. After that, we’ll look at Robin Dembroff’s suggestion that we “imitate” the linguistic practices of trans inclusive and queer communities, and we will evaluate whether this would help us solve the Trans Inclusion Problem. Unfortunately, this strategy also fails to solve the problem. By the end, we’ll have a better appreciation of the challenges faced by Ameliorative Inquirists in their project of redefining “woman,” and clearer view of why the Trans Inclusion Problem cannot, in fact, be solved. That’s primarily because, no matter what it means to be a woman, it’s one thing to be a woman, and another thing to identify as a woman. (shrink)

Attempts to engineer a generally intelligent artificial agent have yet to meet with success, largely due to the (intercontext) frame problem. Given that humans are able to solve this problem on a daily basis, one strategy for making progress in AI is to look for disanalogies between humans and computers that might account for the difference. It has become popular to appeal to the emotions as the means by which the frame problem is solved in human (...) agents. The purpose of this paper is to evaluate the tenability of this proposal, with a primary focus on Dylan Evans’ search hypothesis and Antonio Damasio’s somatic marker hypothesis. I will argue that while the emotions plausibly help solve the intracontext frame problem, they do not function to solve or help solve the intercontext frame problem, as they are themselves subject to contextual variability. (shrink)

Current orthodoxy in the perception literature is that the only way for disjunctivists to resolve the ‘screening off’ problem they face is to embrace a radical form of disjunctivism known as negative epistemic disjunctivism. What makes the view so radical is its commitment to the claim that the psychological nature of hallucinatory episodes can be characterised wholly in negative epistemic terms: having an hallucinatory experience, according to the view, is nothing more than being in a state reflectively indiscriminable from (...) some corresponding perception. e paper argues that on closer inspection, this view fails to adequately resolve the screening off problem. It thus concludes that current orthodoxy must be revised: in order to adequately solve the screening off problem, disjunctivists must locate an alternative strategy. (shrink)

-/- The Universal Formula for Solving the Free Will Problem and Preventing Global Chaos -/- By Angelito Malicse -/- Free will has perplexed philosophers, scientists, and theologians for millennia. The notion that humans possess the ability to make independent choices has often clashed with scientific findings indicating that decisions are influenced by biological, psychological, and environmental factors. This unresolved dilemma has far-reaching implications for society, as misunderstandings about human decision-making contribute to ignorance, conflict, and societal dysfunction. Without a (...) clear understanding of free will’s true nature, the world risks descending into greater chaos. -/- To address this fundamental issue, I, Angelito Malicse, have developed a universal formula that solves the free will problem by revealing the natural laws that govern human decision-making. This formula is grounded in three universal laws: (1) the Law of Karma, (2) the Universal Law of Balance, and (3) the Law of Feedback Mechanisms. Together, these laws provide a systematic, natural-law-based understanding of how human decisions are made and how societies can avoid disorder. By applying this formula in education, governance, and artificial intelligence systems, humanity can prevent global chaos and foster a more harmonious future. -/- The Law of Karma: Cause, Effect, and System Integrity -/- The first law, the Law of Karma, extends beyond the moralistic idea of good and bad deeds. It asserts that every action, thought, and decision sets off a chain of cause and effect that operates within interconnected systems. For any system—whether biological, psychological, or societal—to function properly, it must be free of defects or misinformation. The presence of false beliefs, ignorance, or flawed information disrupts the system’s stability and creates adverse outcomes. -/- In other words, the integrity of any system relies on the accuracy of the information and decisions driving it. Human decision-making is no exception. When individuals or societies act without understanding natural laws, the resulting imbalance leads to societal issues like poverty, environmental degradation, and political unrest. -/- Examples: -/- Personal Level: A person who neglects their health by consuming an unhealthy diet will eventually suffer consequences like obesity or heart disease. The cause (poor diet) naturally leads to the effect (health complications) because the body operates within strict biological laws. -/- Societal Level: A government that ignores scientific evidence about climate change, continuing to promote unsustainable practices, will face severe environmental and economic consequences. The cause (policy negligence) inevitably results in environmental degradation, economic instability, and societal suffering. -/- This law demonstrates that free will is not an unbounded, random phenomenon. Human decisions, like natural events, follow cause-and-effect principles that cannot be bypassed without consequences. -/- The Universal Law of Balance: The Principle of Equilibrium -/- The second law, the Universal Law of Balance, states that all natural systems—biological, psychological, societal, and ecological—operate according to a fundamental principle of balance. Just as the human body maintains homeostasis to regulate temperature, blood pressure, and other vital functions, decision-making processes also seek balance between internal and external influences. -/- When decisions disrupt this natural balance, the system responds with corrective mechanisms. Ignoring or resisting these mechanisms leads to instability, suffering, and systemic failure. Human free will, therefore, operates within the constraints of nature’s balancing forces. -/- Examples: -/- Psychological Balance: A person experiencing chronic stress must either address the root cause or suffer mental and physical consequences. Mental health interventions like therapy restore the mind’s balance by providing coping mechanisms that align with psychological principles. -/- Societal Balance: Societies with extreme wealth inequality often face social unrest. Policies that promote economic justice restore societal balance, reducing conflict and enhancing societal well-being. -/- This law highlights that free will is governed by the natural tendency of systems to maintain balance. Decisions made without regard for this principle lead to instability at both the individual and societal levels. -/- The Law of Feedback Mechanisms: The Dynamics of Interconnected Minds -/- The third law, the Law of Feedback Mechanisms, asserts that human decision-making is continuously shaped by internal cognitive processes and external environmental interactions. Minds do not operate in isolation; they exist within dynamic feedback systems where individuals influence—and are influenced by—each other’s decisions. -/- Decisions are adjusted based on feedback from personal experiences, social interactions, and environmental conditions. Recognizing these feedback mechanisms reveals that free will functions more like a dynamic system responding to ongoing stimuli rather than an independent, isolated force. -/- Examples: -/- Individual Feedback: A child who receives positive reinforcement for helpful behavior will continue making similar choices because the positive feedback reinforces the action. -/- Collective Feedback: During the COVID-19 pandemic, societies that adjusted behaviors based on scientific feedback—like social distancing and vaccination—contained the virus more effectively. The feedback loop between scientific research and public behavior demonstrated the law in action. -/- This law explains why cultural norms, societal values, and shared beliefs can evolve over time. Collective decisions continuously adjust based on the feedback society receives from its environment and past experiences. -/- The Interplay of the Three Laws -/- The true power of this universal formula emerges from the interaction of these three laws. Human decision-making is not random, chaotic, or wholly autonomous; it follows predictable patterns governed by natural laws. When individuals and societies disregard these principles, imbalance, disorder, and suffering result. -/- For instance, consider environmental degradation: -/- 1. Law of Karma: Societies driven by unchecked industrial growth (cause) face environmental damage (effect) due to ignorance about ecological balance. -/- 2. Universal Law of Balance: Nature responds to pollution and deforestation through climate change, signaling an imbalance that requires corrective action. -/- 3. Law of Feedback Mechanisms: Scientific warnings about rising temperatures, extreme weather events, and resource depletion provide feedback that, when heeded, prompts sustainable policy decisions. -/- By recognizing and applying these laws, societies can respond proactively to emerging challenges and avoid catastrophic outcomes. -/- The Danger of Ignoring the Free Will Problem -/- Without solving the problem of free will through this universal formula, the world risks descending into greater chaos. Decision-making processes driven by false beliefs, misinformation, and short-term interests create systemic imbalances that compound over time. We already witness these consequences in the form of: -/- Environmental Collapse: Decisions that ignore ecological limits disrupt the planet’s natural balance, triggering climate disasters. -/- Political Polarization: Societies that fail to educate citizens about natural decision-making processes become vulnerable to ideological extremism and misinformation. -/- Economic Inequality: Economic policies that prioritize growth over sustainability create unstable, unsustainable economies that ultimately collapse. -/- Understanding that free will is governed by natural laws provides a foundation for more rational, balanced decision-making across all sectors of society. -/- The Role of Education in Implementing the Universal Formula -/- The practical application of this formula must begin in the educational system. A holistic, foundational education that teaches the principles of cause and effect, balance, and feedback mechanisms will equip individuals with the critical thinking skills necessary for responsible decision-making. -/- By integrating these universal laws into educational curricula, students will learn to recognize how decisions shape both their personal lives and the broader societal landscape. This approach does not seek to dismantle religious or cultural beliefs but rather complements them with scientifically grounded insights into human behavior. -/- The Role of AGI In Applying the Formula -/- Advanced General Intelligence (AGI) offers a powerful tool for applying this universal formula in real-time societal contexts. AGI systems, equipped with comprehensive sensor networks, can monitor societal feedback loops and help policymakers anticipate the long-term consequences of decisions. By programming AGI with the principles of the universal formula, societies can develop more balanced, sustainable strategies for addressing global challenges. -/- Conclusion: A Call to Action -/- The world stands at a critical juncture. Societal challenges—from climate change to political polarization—stem from decision-making processes that disregard the natural laws governing human behavior. My universal formula for solving the problem of free will, rooted in the Law of Karma, the Universal Law of Balance, and the Law of Feedback Mechanisms, provides a clear, exact solution to this ancient problem. -/- Implementing this formula through education, governance, and AGI development is essential to preventing global chaos. By understanding that free will is not an arbitrary phenomenon but a natural process governed by universal laws, humanity can foster more balanced, harmonious, and sustainable societies. -/- The future of our world depends on our willingness to embrace and apply this understanding. The time for action is now. -/- – Angelito Malicse -/- . (shrink)

Solving Typhoon Turbulence Using the Universal Formula -/- By Angelito Malicse -/- Introduction -/- Typhoons are among the most destructive natural phenomena, bringing extreme winds, heavy rainfall, and turbulent ocean currents. The chaotic turbulence within a typhoon makes it difficult to predict and control, causing widespread devastation to coastal regions, infrastructure, and human lives. Despite advancements in meteorology and fluid dynamics, the turbulence inside typhoons remains a challenge for accurate forecasting and disaster mitigation. -/- By applying my universal formula, (...) based on three fundamental laws of nature, we can develop a structured and effective approach to understanding and controlling typhoon turbulence. This essay explores how the Law of Karma (causality and system integrity), the Law of Balance in Nature, and the Law of Feedback Regulation provide the ultimate solution to typhoon turbulence. -/- Understanding Typhoon Turbulence Using the Universal Formula -/- Typhoons form due to energy imbalances in the atmosphere and ocean, driven by heat, pressure differences, and moisture content. The chaotic turbulence inside a typhoon is the result of: -/- 1. Unstable air currents caused by pressure and temperature gradients. -/- 2. Vortex formation driven by Earth’s rotation and wind shear. -/- 3. Excess energy accumulation in warm ocean waters. -/- By examining typhoon turbulence through the three universal laws, we can develop a scientific strategy to predict, weaken, and potentially neutralize typhoons before they cause destruction. -/- 1. The Law of Karma: Cause, Effect, and Systemic Integrity -/- The Law of Karma states that every effect has a cause, and for a system to function properly, it must be free of defects. A typhoon is an effect caused by imbalances in atmospheric and oceanic conditions. If these imbalances are corrected, typhoon turbulence can be weakened or prevented. -/- Applying the Law of Karma to Typhoon Control -/- ✅ Eliminate the root cause: Typhoons are fueled by warm ocean waters. Artificial cooling methods, such as cloud seeding or deep-sea upwelling (bringing cold water to the surface), could reduce the heat energy supply and prevent typhoon formation. -/- ✅ Detect turbulence before it intensifies: AI-driven weather models can predict early-stage typhoon turbulence and allow preemptive interventions. AI can identify defective atmospheric conditions (such as extreme heat buildup in ocean currents) and trigger mitigation efforts. -/- ✅ Disrupt vortex formation: Since typhoons rely on rotational forces, deploying strategically placed atmospheric pressure disturbances (via drones or cloud-seeding techniques) could disrupt the vortex before it gains full strength. -/- By identifying and neutralizing the causes of typhoon turbulence, we ensure that the system remains balanced, preventing large-scale destruction. -/- 2. The Law of Balance in Nature -/- The Law of Balance states that all systems naturally seek equilibrium. When a typhoon forms, it represents an extreme imbalance in the Earth’s energy system—excess heat and moisture create an unstable feedback loop of wind and turbulence. -/- Restoring Balance to Weaken Typhoon Turbulence -/- ✅ Regulating ocean surface temperature: Large-scale ocean-based temperature regulation systems (such as reflective films or artificial cooling platforms) can prevent typhoon formation by reducing the excess heat energy that fuels storms. -/- ✅ Breaking the pressure imbalance: Typhoons depend on a low-pressure core that intensifies wind speeds. By artificially increasing local air pressure using ionization or controlled cloud seeding, the extreme wind turbulence can be diffused before it reaches destructive levels. -/- ✅ Balancing atmospheric moisture: AI-assisted weather control could help regulate humidity levels through strategic rainfall induction in high-risk areas, ensuring that water vapor does not accumulate excessively to fuel a typhoon. -/- Since all systems follow natural equilibrium, strategically rebalancing temperature, pressure, and humidity will neutralize extreme typhoon turbulence. -/- 3. The Law of Feedback Regulation -/- The Law of Feedback Regulation states that all systems operate through feedback loops, where continuous monitoring and adjustment are necessary for stability. Typhoon turbulence follows feedback patterns, which means it can be tracked, analyzed, and counteracted using real-time data. -/- Developing an AI-Driven Typhoon Suppression System -/- ✅ AI-powered real-time monitoring: Advanced satellites, ocean buoys, and drones can provide instant feedback on typhoon development, allowing for proactive interventions rather than reactive disaster response. -/- ✅ Adaptive wind and pressure control: Deploying AI-controlled drones or weather balloons to release cooling agents, modify air pressure, or disperse cloud formations could interrupt the storm's feedback loop, reducing its intensity. -/- ✅ AI-driven weather forecasting for early response: Using deep learning algorithms, AI can accurately predict turbulence patterns weeks in advance, allowing governments to take preventive action instead of just preparing for disaster relief. -/- By implementing real-time monitoring and intervention, we can use feedback regulation to weaken or redirect typhoons before they cause catastrophic damage. -/- The Future of Typhoon Control with the Universal Formula -/- By integrating my universal formula into meteorology and disaster prevention, we can develop a comprehensive AI-driven typhoon suppression system that follows the three fundamental laws of nature: -/- 1. Law of Karma (Causality and Systemic Integrity): Address the root causes of typhoon formation by eliminating atmospheric and oceanic imbalances. -/- 2. Law of Balance in Nature: Restore equilibrium by regulating ocean temperatures, air pressure, and humidity. -/- 3. Law of Feedback Regulation: Use AI-driven real-time monitoring and intervention to weaken or prevent typhoons. -/- Through advanced AI, environmental engineering, and a deep understanding of nature’s laws, we can move beyond simply predicting typhoons and start actively controlling their development. -/- Conclusion -/- Typhoon turbulence, long considered an unpredictable force of nature, is fundamentally a problem of imbalance, energy accumulation, and feedback-driven intensification. By applying my universal formula, we can shift from passive disaster response to active typhoon control, using AI, environmental intervention, and natural equilibrium principles to prevent devastation. -/- This solution is not just theoretical—it aligns with the fundamental laws governing all natural systems. Once implemented, it will mark the beginning of a new era where humanity can harness nature’s own principles to create balance, stability, and protection from extreme weather. -/- . (shrink)

This study set out to look into the relationship between metacognitive reading strategies and reading comprehension of Grade 11 Technical-Vocational-Livelihood modular distance learners of Pasay City East. A correlational research design was employed. The Metacognitive reading strategies served as the dependent variable while reading comprehension served as an independent variable. Random sampling was used to select the 116 respondents and MARSI R and McCall Crabbs Reading Proficiech test were the instruments. The findings of this study show a weak relationship between (...) metacognitive awareness of reading strategies and reading comprehension and the unachieved grade level which failed to reject the hypothesis that there was no significant relationship of metacognitive reading strategies and reading comprehension for Global and Problem-Solving reading strategies. It recommended that future researchers should employ other reading comprehension proficiency tests to validate the result of the existing study and include intervention through the utilization of metacognitive reading strategies as the appropriate strategy to address reading comprehension. (shrink)

Analogical reasoning is often employed in problem-solving and metaphor interpretation. This paper submits that, as a default, analogical reasoning addressing these different tasks employs different mapping strategies: In problem-solving, it employs analogy-maximising strategies (like structure mapping, Gentner & Markman 1997); in metaphor interpretation, analogy-minimising strategies (like ATT-Meta, Barnden 2015). The two strategies interact in analogical reasoning with conceptual metaphors. This interaction leads to predictable fallacies. The paper supports these hypotheses through case-studies on ‘mind’-metaphors from ordinary discourse, (...) and abstract problem-solving in the philosophy of mind, respectively: It shows that (1) default metaphorical interpretations for vision- and space-cognition metaphors can be derived with a variant of the analogy-minimising ATT-Meta approach, (2) philosophically influential introspective conceptions of the mind can be derived with conceptual metaphors only through an analogy-maximising strategy, and (3) the interaction of these strategies leads to hitherto unrecognised fallacies in analogical reasoning with metaphors. This yields a debunking explanation of introspective conceptions. (shrink)

In a 2002 article Stewart Cohen advances the “bootstrapping problem” for what he calls “basic justification theories,” and in a 2010 followup he offers a solution to the problem, exploiting the idea that suppositional reasoning may be used with defeasible as well as with deductive inference rules. To curtail the form of bootstrapping permitted by basic justification theories, Cohen insists that subjects must know their perceptual faculties are reliable before perception can give them knowledge. But how is such (...) knowledge of reliability to be acquired if not through perception itself? Cohen proposes that such knowledge may be acquired a priori through suppositional reasoning. I argue that his strategy runs afoul of a plausible view about how epistemic principles function; in brief, I argue that one must actually satisfy the antecedent of an epistemic principle, not merely suppose that one does, to acquire any justification by its means – even justification for a merely conditional proposition. (shrink)

Interval bipolar neutrosophic set is a significant extension of interval neutrosophic set where every element of the set comprises of three independent positive membership functions and three independent negative membership functions. In this study, we first define correlation coefficient, and weighted correlation coefficient measures of interval bipolar neutrosophic sets and prove their basic properties. Then, we develop a new multi-attribute decision making strategy based on the proposed weighted correlation coefficient measure. Finally, we solve an investment problem with interval (...) bipolar neutrosophic information and comparison is given to demonstrate the applicability and effectiveness of the proposed strategy. (shrink)

COVID-19 and military actions on the territory of Ukraine fundamentally changed the organization of the educational process, forcing educational institutions to transfer classroom learning to virtual space. To organize the educational process remotely, we need to organize an educational environment in which we can ensure the implementation of all types of educational activities, as well as creation and selection of e-resources depending on their types. Having guidelines in the form of modes, forms and learning outcomes, it is necessary to structure (...) the content of educational disciplines, corresponding curricula, to ensure the activity of students during lectures and the implementation of practical tasks with the necessary tools, to determine and carry out the selection of electronic educational resources for the effective organization of the educational process in conditions of open education. First of all, it is important to take into account all types of student activities, namely: those ones, which are usually implemented in class and determine the possibility of their implementation in a remote format using cloud services. The monograph considers the problem of effective use of Microsoft 365 services for the organization of e-learning through the prism of the competency approach. In particular, the study established a correspondence between training activities and M365 services, which can provide tools support for their implementation. Chapter 1 analyzes the components of digital competence and the abilities necessary for the organization of the e-learning process. Based on the analysis, the correspondence between the components of digital competence and M365 services, the possession of which indicates the existing level of digital competence, was established. Chapter 2 of the monograph describes the digital competences necessary for the organization of various types of training using Microsoft 365 services. It studies features of using digital identity cloud services, Microsoft 365 services for digital data management and collaboration, e-learning management, design and creation of digital content, problem solving and innovation, digital communication, cooperation and interaction. Chapter 3 offers a developed model of hybrid educational environment architecture based on Microsoft Teams platform and analyzes digital competences for the organization of asynchronous interaction between students and teachers using MS Teams tools. Chapter 4 is devoted to the results of an experimental study of the effectiveness of the use of Microsoft 365 services for the organization of e-learning and the readiness of teachers and students to use them. (shrink)

In a recent Philosophy of Science article Gerhard Schurz proposes meta-inductivistic prediction strategies as a new approach to Hume's. This comment examines the limitations of Schurz's approach. It can be proven that the meta-inductivist approach does not work any more if the meta-inductivists have to face an infinite number of alternative predictors. With his limitation it remains doubtful whether the meta-inductivist can provide a full solution to the problem of induction.

How can someone reconcile the desire to eat meat, and a tendency toward vegetarian ideals? How should we reconcile contradictory moral values? How can we aggregate different moral theories? How individual preferences can be fairly aggregated to represent a will, norm, or social decision? Conflict resolution and preference aggregation are tasks that intrigue philosophers, economists, sociologists, decision theorists, and many other scholars, being a rich interdisciplinary area for research. When trying to solve questions about moral uncertainty a meta understanding of (...) the concept of normativity can help us to develop strategies to deal with norms themselves. 2nd-order normativity, or norms about norms, is a hierarchical way to think about how to combine many different normative structures and preferences into a single coherent decision. That is what metanormativity is all about, a way to answer: what should we do when we don’t know what to do? In this study, we will review a decision-making strategy dealing with moral uncertainty, Maximization of Expected Choice-Worthiness. This strategy, proposed by William MacAskill, allows for the aggregation and inter-theoretical comparison of different normative structures, cardinal theories, and ordinal theories. In this study, we will exemplify the metanormative methods proposed by MacAskill, using has an example, a series of vegetarian dilemmas. Given the similarity to this metanormative strategy to expected utility theory, we will also show that it is possible to integrate both models to address decision-making problems in situations of empirical and moral uncertainty. We believe that this kind of ethical-mathematical formalism can be useful to help develop strategies to better aggregate moral preferences and solve conflicts. (shrink)

In Metaphysical Emergence, Jessica Wilson recognises the problem of higher-level causation as “the most pressing challenge to taking the appearances of emergent structure as genuine” (2021: 39). Then, Wilson states that there are “two and only two strategies of response to this problem” (2021: 40) that lead to Strong and Weak emergence. In this paper, I suggest that there might be an alternative strategy—not opposite, but different in kind—to approach this difficulty. As noticed by Wilson, the (...) class='Hi'>problem of higher-level causation was formulated and made central by Jaegwon Kim. However, Kim’s arguments were grounded on distinct metaphysical principles—including Alexander’s Dictum and its analysis in terms of causal powers. Rather than following Kim’s formulation and responding to the problem he raised in his own terms, a different approach may be to question the pertinence of the metaphysical framework in which these arguments were originally grounded. The problem of higher-level causation, in other words, might be less “pressing” if ontological emergence came with a less strict and univocal view of causal novelty and ontological relevance. (shrink)

This book presents a novel pluralist strategy for answering Molyneux's 300+ year old conundrum: Would a person, born blind but given sight, identify a shape previously known only by their touch? The author interweaves historical scholarship with contemporary philosophical work and empirical research on animal, infant, and adult human perception. The author argues that we need a new approach to Molyneux's problem because we do not know what the problem is really about, and it is untestable because (...) a Molyneux subject cannot be physically realized. He criticizes Molyneux's question for its simplistic taxonomy of "the blind" that groups significant individual differences into a singular ontology. Research in the cognitive sciences confirms that various kinds of blindness can co-occur, such as ocular, cortical, and psychological blindness. Therefore, the author adopts an explanatory pluralism for answering Molyneux's problem, which includes no, yes, and 'no answer' answers according to the domain of inquiry being used. This account provides a research-based answer to a long-standing problem using previously unheeded insights particularly from animal crossmodal perception studies to retell a more complex story of perception: its levels of explanation and integration. A Pluralist's Guide to Solving Molyneux's Problem will be of interest to researchers and advanced students working in comparative psychology, epistemology, history of philosophy, philosophy of perception. (shrink)

Abstract This paper explores the application of the Universal Formula, formulated by Angelito Malicse, to solve the persistent problem of bad habits such as smoking, drug use, alcohol consumption, and gambling. Grounded in three universal laws of nature—Karma (cause and effect), the Law of Balance, and Conscious Feedback Mechanisms—this framework offers a holistic and systemic approach to understanding and mitigating the root causes of these behaviors. This paper also proposes an implementation strategy through a reformed educational system to (...) achieve long-term societal transformation. -/- . (shrink)

In this paper, we define projection and bidirectional projection measures between interval rough neutrosophic sets and prove their basic properties. Then two new multi attribute decision making strategies are proposed based on interval rough neutrosophic projection and bidirectional projection measures respectively. Then the proposed methods are applied for solving multi attribute decision making problems. Finally, a numerical example is solved to show the feasibility, applicability and effectiveness of the proposed strategies.

Industrial Engineering (IE) education is a SCIENCE, Technology, Engineering and Mathematics (STEM) discipline that requires an appropriate instruction approach, thus making it imperative to look deep into finding a suitable learning approach. Surprisingly, in Nigeria, there is an absence of course-specific studies that utilized a hybrid Multi-Criteria Decision Method (MCDM) approach to evaluate STEM learning strategies in order of importance in deploying IE subjects for the utmost academic fulfilment of the pedagogical requirements as provided in the curriculum. Analytical Hierarchical Process (...) and Preference Ranking Organization Method for Enrichment of Evaluations (AHP-PROMETHEE) model were used to develop the hierarchical model of the problem and illustratively rank the STEM alternatives and core STEM competent criteria to facilitate appropriate learning for IE education. The results show that the prioritised STEM approach for IE education is Challenge-Based LEARNING (CBL), followed by ProjectBased Learning (PJBL). The core competence associated with these two STEM learning strategies ranges from collaboration, critical thinking, independent learning, problem-solving and digital literacy. (shrink)

The results of the authors’ research in a scientific monograph are devoted to solving the problems of forming and improving new concepts and strategies for managing economic systems, and mechanisms for their implementation in the context of modern world challenges to society on the basis of models of managing economic entities. An important component of the scientific monograph is the formation of modern strategies for increasing the competitiveness of economic systems, improving corporate structures, innovative restructuring of enterprises, ensuring environmental (...) safety, approaches to implementing a supply chain logistics management system, making effective decisions in the forecasting system, developing e-commerce, implementation of information technologies in project financing, controlling, education system, etc. The research results presented in the scientific monograph reflect the theoretical and practical aspects of the implementation of organizational-economic mechanisms for managing economic systems in the context of modern world challenges, conditions of constantly changing market conditions and instability of markets for goods and services, preservation and optimization of the resource potential of economic entities, the introduction of modern innovative technologies and digitalization of economic activities. (shrink)

Within the context of the Quine–Putnam indispensability argument, one discussion about the status of mathematics is concerned with the ‘Enhanced Indispensability Argument’, which makes explicit in what way mathematics is supposed to be indispensable in science, namely explanatory. If there are genuine mathematical explanations of empirical phenomena, an argument for mathematical platonism could be extracted by using inference to the best explanation. The best explanation of the primeness of the life cycles of Periodical Cicadas is genuinely mathematical, according to Baker (...) :223–238, 2005; Br J Philos Sci 60:611–633, 2009). Furthermore, the result is then also used to strengthen the platonist position :779–793, 2017a). We pick up the circularity problem brought up by Leng Mathematical reasoning, heuristics and the development of mathematics, King’s College Publications, London, pp 167–189, 2005) and Bangu :13–20, 2008). We will argue that Baker’s attempt to solve this problem fails, if Hume’s Principle is analytic. We will also provide the opponent of the Enhanced Indispensability Argument with the so-called ‘interpretability strategy’, which can be used to come up with alternative explanations in case Hume’s Principle is non-analytic. (shrink)

Crime is a community problem and not just a police problem. The adoption and implementation of Community Policing (CP) in the 1980s, was perceived as departure from the professional ‘police-as- expert’ model of public safety that had been dominant for a long time. The CP approach is designed to engage the community as an equal partner in solving local crime and other security threats within the community. The CP concept was introduced in Kenya in the 1990s.Though it (...) had informally existed in Nairobi County in Ruai and Kasarani estates much earlier.Its formal implementation only gained currency after the Post Election Violence of 2007-2008 in Kenya. Among the factors influencing its implementation in Kenya has received considerable research attention, but challenges impacting on its implementation in Nairobi County have not been adequately documented. This study aimed to fill this research gap by focussing on community factors. The overall research objective sought to determine the influence of community factors in effective implementation of community policing within Nairobi County. The objective of the study was to assess how community factors influence implementation of community policing within Nairobi County. The research findings adds to the body of knowledge, while also benefitting policy makers dealing with issues of community policing. It will also benefit other researchers exploring different aspects of community policing as a strategy to combat crime in city neighbourhoods. The research established that community factors are among the most influential factors that hamper smooth implementation of community policing in Nairobi County. The study recommends that the community needs to be educated on community policing initiatives and how to manage community factors that affect the implementation of CP in Nairobi County. (shrink)

Mathematical literacy is essential for students’ academic success and real-life problem-solving. However, math anxiety remains a significant barrier affecting students' performance, particularly in the “quantity” content of mathematical literacy. Despite extensive research, limited studies have explored how varying levels of math anxiety influence students’ mathematical literacy in specific content domains. This qualitative descriptive study investigates the impact of math anxiety on the mathematical literacy of the eighth-grade students in the “quantity” content. Using purposive sampling, six students from State (...) Junior High School 26 Makassar were selected. The data collection involved a math anxiety questionnaire, a mathematical literacy test, and interview guidelines. The Miles, Huberman, and Saldana model was applied for data analysis. The findings indicate that math anxiety levels strongly influence students’ mathematical literacy. Students with low anxiety demonstrated strong conceptual understanding, effective problem-solving strategies, and accurate calculations. Those with moderate anxiety managed simpler tasks but struggled with complex problems, consistent with the Yerkes-Dodson law. The students experiencing high anxiety exhibited the poorest performance faced challenges in understanding instructions and applying appropriate strategies. The study highlights the necessity of addressing math anxiety through interactive teaching approaches and targeted support to enhance students’ mathematical literacy, suggesting practical interventions for educators. (shrink)

The aim of the research is to study the impact of digitalization and strategic flexibility on the development of innovative business development strategies of modern companies. Digitalization is closely intertwined with strategic flexibility, forming opportunities for the introduction of new technologies and serving as the basis for business development. This ensures faster identification of problems and modification of resource requirements due to timely response to changes in the external business environment and breaks the relevance of further research towards the implementation (...) of the research goal. Analysis of the content of scientific works of scientists revealed insufficient attention to the study of the relationship between digitalization and strategic flexibility as the basis for solving strategic tasks of business development. The feasibility of digital transformations in the field of strategic management is determined in the work. The conceptual relationships of digitalization, strategic flexibility and business development are disclosed. The purpose of Business Model Canvas for business development is summarized. The matrix of choosing innovative strategies for business development has been proposed, taking into account the digitalization trajectory and the level of business flexibility, which will ensure its sustainable development in the future. (shrink)

Building on observed similarities in uniqueness proofs for the empty set and the Necessary Existent (Wajib al-Wujud), this comparative study in philosophy of logic identifies four structural analogies (parallels in logical reasoning across distinct domains) between Zermelo-Fraenkel set theory with Choice (ZFC) and Mulla Sadra's Transcendent Wisdom (Hikmat al-Muta'aliyah). First, identity principles: the Axiom of Extensionality provides a formal operational criterion analogous to the philosophical principle of identity through absence of distinguishing features. Second, multiplicity mechanisms: ZFC's constructor axioms (bottom-up construction) (...) and emanation principles (top-down explanation) address analogous problems with inverse orientations. Third, transcending limitation: the Axiom of Infinity ensuring quantitative extensional infinity addresses a problem formally parallel to (though ontologically distinct from) principles of gradation and nobler possibility demonstrating qualitative intensive perfection. Fourth, foundation principles: the Axiom of Regularity and impossibility of infinite regress both prohibit vicious circularity and guarantee well-foundedness through comparable logical patterns. The results suggest constraints on rational frameworks: when addressing universal challenges (identity, multiplicity, infinity, foundation) different systems may converge on similar problem-solving strategies despite radical differences in content, method, and epistemological status. (shrink)

This dissertation provides an exploration of Moore’s Paradox, which is the philosophical puzzle (noted first by G.E. Moore) posed by sentences of the form “p, but I don’t believe that p” and “p, but I believe that ~p”. Such sentences seem infelicitous to assert and irrational to believe, even though they are meaningful and consistent – therefore, their infelicity or irrationality constitutes a philosophical puzzle and invites theorizing concerning the limits of coherent speech and thought. The dissertation aims to establish (...) theoretical ramifications for solving Moore’s Paradox both as a problem concerning assertion and belief and eventually – suggest one such solution. (shrink)

This paper presents a unified framework for both problem-solving and poetry generation under human cognitive constraints. Combining memory-limited DFS strategies, Miller's 7 ± 2 working memory rule, and Markovian Parallax Denigrate (MPD) methods, we introduce a systematic approach for structuring sequences of ideas or words into near-optimal solutions or creative outputs while maintaining minimal working memory requirements.

Hybrid expressivists claim to solve the Frege–Geach problem by offloading the explanation of the logico-semantic properties of moral sentences onto the belief-components of hybrid states they express. We argue that this strategy is undermined by one of hybrid expressivism's own commitments: That the truth of the belief-component is neither necessary nor sufficient for the truth of the hybrid state it composes. We articulate a new approach. Instead of explaining head-on what it is for, say, a pair of moral (...) sentences to be inconsistent, expressivists should ‘sidestep’ and explain what it is to think that a pair of moral sentences is inconsistent. To think so is to think they cannot both be true—a modal notion. Since expressivists have given accounts of such modals, we illustrate how sentences like ‘‘‘lying is wrong’’ and ‘‘lying is not wrong’’ are inconsistent’ express sensible—and rationally compelling—states of mind. (shrink)

The Frame Problem is the problem of how one can design a machine to use information so as to behave competently, with respect to the kinds of tasks a genuinely intelligent agent can reliably, effectively perform. I will argue that the way the Frame Problem is standardly interpreted, and so the strategies considered for attempting to solve it, must be updated. We must replace overly simplistic and reductionist assumptions with more sophisticated and plausible ones. In particular, the (...) standard interpretation assumes that mental processes are identical to certain kinds of computational processes, and so solving the Frame Problem is a matter of finding a computational architecture that can effectively represent relations of semantic relevance. Instead, we must take seriously the possibility that the way in which intelligent agents use information is inherently different. Whereas intelligent agents are plausibly genuinely causally sensitive to semantic properties as such (to what they perceive, desire, believe intend, etc.), computational systems can only be causally sensitive to the formal features that represent these properties. Indeed, it is this very substitution of formal generalizations for genuinely semantic ones that is responsible for the way current AI systems are brittle, inflexible, and highly specialized. What we need is a more sophisticated way of investigating the relationship between computational information processing and genuinely semantic information use, so that these two senses of using information are not conflated, but instead the question of how they are related to one another can be studied directly. I apply the generative methodology I have developed elsewhere for cognitive science and AI research (Miracchi, 2017, 2019a) to show how the Frame Problem can be appropriately updated. (shrink)

This paper proposes that the free pragmatic enrichment process of narrowing can explain the context-sensitivity of knowledge attribution sentences, which is a central tenet of epistemic contextualism. Epistemic contextualism is a semantic thesis about the truth-conditions of knowledge attribution sentences of the form “S knows that p.”Even though it is a linguistic claim, it is proposed to solve an epistemic problem, i.e., the threat posed by Cartesian-style sceptical arguments. The rough idea behind epistemic contextualism’s solution to the sceptical (...) class='Hi'>problem is to argue that the premises of Cartesian-style sceptical arguments (specifically, the first one) generate a context in which the epistemic standards for knowledge attribution are extremely high and impossible to meet, leading to the sceptical conclusion: “S does not know that p”; under those standards, the sceptical conclusion seems to be true. But ordinarily, the negation of the sceptical conclusion (which is the sentence that asserts “S knows that p”) is evaluated as true because the epistemic standards operating in that context are loose. (shrink)

The Universal Formula: Solving the Problem of Free Will Through the Law of Balance By Angelito Malicse Introduction The problem of free will has puzzled humanity for centuries, often viewed as a philosophical or metaphysical enigma. This essay presents a universal formula that resolves this dilemma by focusing on the law of karma and the universal law of balance. It explores the interconnectedness of systems, the critical role of accurate knowledge, and the evolution of emotions in maintaining (...) harmony. By examining real-world examples such as overpopulation, environmental degradation, economic instability, and the flaws of capitalism, this essay demonstrates how the universal formula can guide human decision-making to achieve a balanced and sustainable world. The Law of Karma: Systems and Balance The universal formula begins with the law of karma, which extends beyond cause and effect to encompass the integrity of systems, both natural and man-made. Every system—whether ecological, social, or economic—operates according to the universal law of balance. When imbalances arise, the system becomes dysfunctional, leading to adverse consequences. For example, while humans sit at the top of the food chain, the Earth's ecosystem cannot sustain unchecked overpopulation of our species. Overpopulation leads to the destruction of natural resources as humans consume everything, including plants, animals, and even insects. This voracious consumption damages ecosystems, accelerates deforestation, depletes biodiversity, and disrupts the delicate balance of the natural world. To ensure the sustainability of life on Earth, it is crucial to regulate population growth, conserve natural resources, and refrain from exploiting all animals on land and in the sea. By preserving biodiversity and maintaining the integrity of ecosystems, we protect the foundation of life that supports all species, including humans. Free Will and the Dependence on Correct Knowledge Human free will is not an autonomous force but is entirely dependent on correct knowledge and information. Errors in decision-making, often caused by ignorance, false beliefs, and distorted theories, disrupt the balance of systems. For instance, the failure to regulate overpopulation creates cascading problems, including climate change, pollution, and resource depletion. Without accurate knowledge about the consequences of overpopulation, individuals and societies continue to make decisions that exacerbate these imbalances. Education and government policy play vital roles in addressing these issues. Policies that promote population regulation can maintain a sustainable economy, while education fosters awareness of the need to protect ecosystems and biodiversity. Correct information empowers individuals to make decisions that align with the universal law of balance, preventing errors that destabilize systems. The Flaws of Capitalism and the Need for Balance The efficiency of the capitalistic system increases over time, leading to significant flaws if left unchecked. Private companies continually strive to reduce overhead and operating expenses, often by automating processes and replacing human labor with robotics. While this enhances profitability, it also reduces employment opportunities, suppresses wages, and widens income inequality. These principles, central to the management strategies of most private companies, create systemic imbalances in the economy. The solution lies in adopting a mixed economic system that counterbalances the excesses of capitalism with socialist principles. Governments must play a pivotal role in addressing these imbalances by implementing the following measures: Creating High-Salary Government Jobs: These jobs provide stable income and stimulate local economies. Providing Unemployment Benefits or Universal Basic Income (UBI): These measures ensure that individuals who lose jobs due to automation and efficiency gains still have the purchasing power to meet their needs. Offering Free Healthcare and Education: These fundamental services reduce the financial burden on families, enabling them to invest in other areas of life. Promoting Government Spending: By investing in infrastructure, renewable energy, and public services, governments can create new jobs and maintain the flow of money in the economy. Government spending serves as a balancing mechanism by injecting funds into the economy, which in turn supports private companies through increased consumer demand. This feedback loop creates private-sector jobs, stabilizes the economy, and ensures a balanced flow of resources between public and private sectors. The Role of Emotions in Balancing Systems Human emotions, both positive and negative, serve as essential feedback mechanisms for maintaining balance. Positive emotions, such as love and joy, encourage cooperative behavior and strengthen familial and social bonds. Negative emotions, such as fear and anger, signal imbalances that require corrective action. For example, the unconditional love within a family fosters a nurturing environment that supports the emotional and psychological development of children. This foundation contributes to a high-quality next generation of parents, capable of fostering further generational improvement. Conversely, the absence of such love or a dysfunctional family structure often leads to crime, substance abuse, and other societal problems. These negative outcomes are the effects of systemic imbalances, whether caused by poor parenting, economic hardship, or the lack of a government safety net. Addressing Environmental and Social Imbalances The universal formula underscores the importance of a holistic education system in addressing systemic imbalances. Education must instill values such as cleanliness, discipline, ethics, and good manners while fostering a respect for nature. Teaching children the importance of not harming wildlife and preserving ecosystems is critical to protecting biodiversity and ensuring a harmonious coexistence with other species. Government policies also play a crucial role. Regulations that protect natural resources, reduce pollution, and promote renewable energy can prevent environmental degradation. Policies that provide social safety nets can alleviate poverty and reduce crime by addressing the root causes of economic and social imbalance. The Importance of Holistic Systems Thinking The universal formula emphasizes the interconnectedness of systems, demonstrating that imbalances in one area often ripple through others. For instance, a lack of holistic education contributes to ignorance, which leads to poor decision-making. This, in turn, exacerbates issues such as overpopulation, resource depletion, and social unrest. Producing a high-quality young generation requires a combination of good parenting, access to education, and supportive government policies. By fostering an environment that values balance, discipline, and ethics, societies can produce individuals capable of making decisions that align with the universal law of balance. Conclusion The universal formula offers a comprehensive solution to the problem of free will by integrating the law of karma, the universal law of balance, and the evolutionary role of emotions. By understanding and addressing the root causes of imbalance—whether environmental, social, or economic—humanity can achieve harmony within and across systems. Real-world examples, such as overpopulation, economic instability, environmental destruction, and the flaws of capitalism, highlight the urgent need to apply this formula. Through holistic education, informed policies, and an unwavering commitment to balance, individuals and societies can prevent errors, correct existing imbalances, and create a sustainable and harmonious future. The time to act is now. By embracing the universal formula, humanity can unlock the full potential of free will, ensuring a balanced and equitable world for generations to come. ---. (shrink)

Recently, several philosophers and physicists have increasingly noticed the hegemony of unitarity in the black hole information loss discourse and are challenging its legitimacy in the face of the measurement problem. They proclaim that embracing non-unitarity solves two paradoxes for the price of one. Though I share their distaste over the philosophical bias, I disagree with their strategy of still privileging certain interpretations of quantum theory. I argue that information-restoring solutions can be interpretation-neutral because the manifestation of non-unitarity (...) in Hawking's original derivation is unrelated to what's found in collapse theories or generalized stochastic approaches, thereby decoupling the two puzzles. (shrink)

The counterfactual comparative account of harm faces problems in cases that involve overdetermination and preemption. An influential strategy for dealing with these problems, drawing on a suggestion made by Derek Parfit, is to appeal to _plural harm_—several events _together_ harming someone. We argue that the most well-known version of this strategy, due to Neil Feit, as well as Magnus Jedenheim Edling’s more recent version, is fatally flawed. We also present some general reasons for doubting that the overdetermination and (...) preemption problems for the counterfactual comparative account can be satisfactorily solved by appealing to plural harm. (shrink)

What features will something have if it counts as an explanation? And will something count as an explanation if it has those features? In the second half of the 20th century, philosophers of science set for themselves the task of answering such questions, just as a priori conceptual analysis was generally falling out of favor. And as it did, most philosophers of science just moved on to more manageable questions about the varieties of explanation and discipline-specific scientific explanation. Often, such (...) shifts are sound strategies for problem-solving. But leaving fallow certain basic conceptual issues can also result in foundational debates. (shrink)

Many of us agree that we ought not to wrong future people, but there remains disagreement about which of our actions can wrong them. Can we wrong individuals whose lives are worth living by taking actions that result in their very existence? The problem of justifying an answer to this question has come to be known as the non-identity problem.[1] While the literature contains an array of strategies for solving the problem,[2] in this paper I will (...) take what I call the harm-based approach, and I will defend an account of harming—which I call the existence account of harming—that can vindicate this approach. -/- Roughly put, the harm-based approach holds that, by acting in ways that result in the existence of individuals whose lives are worth living, we can harm and thereby wrong those individuals. An initially plausible way to try to justify this approach is to endorse the non-comparative account of harming, which holds that an event harms an individual just in case it causes her to be in a bad state, such that the state’s badness does not derive from a comparison between that state and some alternative state that the individual would or could have been in. However, many philosophers argue that the non-comparative account of harming is inadequate,[3] and one might be tempted to infer from this that any harm-based approach to the non-identity problem will fail. My proposal, which I call the existence account of harming, will show that this inference is faulty: we can vindicate the harm-based approach without relying on the non-comparative account of harming. (shrink)

What experimental game theorists may have demonstrated is not that people are systematically irrational but that human rationality is heavily scaffolded. Remove the scaffolding, and we do not do very well. People are able to get on because they “offload” an enormous amount of practical reasoning onto their environment. As a result, when they are put in novel or unfamiliar environments, they perform very poorly, even on apparently simple tasks. -/- This observation is supported by recent empirically informed shifts in (...) philosophy of mind toward a view of cognition as (to cite the current slogan) “embodied, embedded, enactive, extended.” Andy Clark and others have made a very plausible case for the idea that a proper assessment of human cognitive competence must include environmental components. To limit our attention to what lies within the skin-skull boundary is, in effect, to miss the big story on human rationality. Insofar as we are rational, it is often because of our ingenuity at developing “work-arounds” to the glitches in the fast-and-frugal heuristic problem-solving capabilities that natural selection has equipped us with. And these work-arounds often involve a detour through the environment (so-called offloading of cognitive burdens). -/- When it comes to practical rationality, things are no different. Yet in many discussions of “the will,” there is still a tendency to put too much emphasis on what goes on inside the agent’s head. Our objective in this chapter is to articulate this conception of “the extended will” more clearly, using the strategies that people employ to overcome procrastination for the central set of examples. Procrastination, in our view, constitutes a particular type of self-control problem, one that is particularly amenable to philosophical reflection, not only because of the high volume of psychological research on the subject but also because of the large quantity of “self-help” literature in circulationa literature that provides an invaluable perspective on the everyday strategies that people use in order to defeat (or, better yet, circumvent) this type of self-defeating behavior pattern. In general, what we find is that the internalist bias that permeates discussions of the will gives rise to a set of practical recommendations that overemphasize changing the way one thinks about a task, while ignoring the much richer set of strategies that are available in the realm of environmental scaffolding. In the concluding section, we highlight some of the policy implications of this, particularly regarding social trends involving the dismantling of support structures. (shrink)