Bounded rationality gets a bad rap in epistemology. It is argued that theories of bounded rationality are overly context‐sensitive; conventionalist; or dependent on ordinary language (Carr, 2022; Pasnau, 2013). In this paper, I have three aims. The first is to set out and motivate an approach to bounded rationality in epistemology inspired by traditional theories of bounded rationality in cognitive science. My second aim is to show how this approach can answer recent (...) challenges raised for theories of bounded rationality. My third aim is to clarify the role of rational ideals in bounded rationality. (shrink)

Is there such a thing as bounded rationality? I first try to make sense of the question, and then to suggest which of the disambiguated versions might have answers. We need an account of bounded rationality that takes account of detailed contingent facts about the ways in which human beings fail to perform as we might ideally want to. But we should not think in terms of rules or norms which define good responses to an individual's (...) limitations, but rather in terms of desiderata, situations that limited agents can hope to achieve, and corresponding virtues of achieving them. We should not take formal theories defining optimal behavior in watered-down bounded form, even though they can impose enormous computational or cognitive demands. (shrink)

My aim in this paper is to develop a unified solution to two paradoxes of bounded rationality. The first is the regress problem that incorporating cognitive bounds into models of rational decisionmaking generates a regress of higher-order decision problems. The second is the problem of rational irrationality: it sometimes seems rational for bounded agents to act irrationally on the basis of rational deliberation. I review two strategies which have been brought to bear on these problems: the way (...) of weakening which responds by weakening rational norms, and the way of indirection which responds by letting the rationality of behavior be determined by the rationality of the deliberative processes which produced it. Then I propose and defend a third way to confront the paradoxes: the way of level separation. (shrink)

Epistemic reliabilism holds that a belief is justified if and only if it is produced by a reliable or truth-conducive process. I argue that reliabilism offers an epistemology for bounded rationality. This latter concept refers to normative and descriptive accounts of real-world reasoning instead of some ideal reasoning. However, as initially formulated, reliabilism involves an absolute, context-independent assessment of rationality that does not do justice to the fact that several processes are reliable in some reasoning environments but (...) not in others, as is widely reported in the cognitive sciences literature. I consider possible solutions to this problem. Resorting to ‘normality reliabilism’, a variant of the theory, is one; but I find it insufficient. Therefore, in addition, I propose to relativise the reliability assessment to reasoning environments. This novel version of reliabilism fits bounded rationality better than the original one does. (shrink)

A generalization of the standard n-person game is presented, with flexible information requirements suitable for players constrained by bounded rationality. Strategies (complete contingency plans) are replaced by "policies," i. e., end-mean pairs of candidate goals and "controls" (partial contingency plans). The existence of individual objective functions over the joint policy choice set is axiomatized in terms of primitive preference and probability orders. Conditions are given for the existence of pure policy Nash equilibrium points in n-person games, and pure (...) policy Nash bargaining and equilibrium threat solutions in 2-person policy games. Connectedness of the policy and payoff sets is not required. (shrink)

G. W. Leibniz developed a new model for rational decision-making which is suited to complicated decisions, where goods do not rule each other out, but compete with each other. In such cases the deliberator has to consider all of the goods and pick the ones that contribute most to the desired goal which in Leibniz’s system is ultimately the advancement of universal perfection. The inclinations to particular goods can be seen as vectors leading to different directions much like forces in (...) Leibniz’s dynamics. The vectorial model of rational decision-making is related to Leibniz’s work with metaphysical physics and the calculus of variations and is a heuristic tool which helps in finding reasonable combinations – in ideal cases optimums - between competing goods. By applying the model, the decision-maker can map and compare outcomes of combinations of goods in question and practice a kind of pseudo-mechanical arithmetic of reasons. A central feature of the model is the possibility to employ geometrical figures to help the conceptualization. In this paper I present the vectorial model, examine its applications in practical cases from political theory, jurisprudence and ethics Leibniz presented, and compare the model to recent theories of acting under uncertainty, such as bounded rationality and optimizing under constraints. (shrink)

This paper develops a comprehensive, multi-layered framework integrating thermodynamics, game theory, fuzzy logic, and self-referential information theory to analyze social welfare in systems with self-referential agents (Quine agents) and bounded rationality. We formalize the concept of 'Demonic Agents' as actors capable of manipulating, erasing, and reproducing their information states, analogous to Maxwell's demon. Using probabilistic phase entropy and fuzzy action distributions, we rigorously prove that social welfare (SW) is globally superior to Nash equilibria (NE), bounded, and foundational, (...) even in worlds without overt demons. Quine self-replication ensures irreducible, non-trivial information for all agents, making every agent inherently demonic and capable of shaping collective outcomes. The model integrates economic allocation mechanisms inspired by Nakamoto (2008), including Bitcoin-based anchors, the genesis hash, and dynamic fairness mechanisms. (shrink)

Why might a scientist want to establish a cognitive model as optimally suited to some particular environment? In this paper, I suggest that an unexamined motivation for establishing models as optimal is to uncover systematic discrepancies between idealized human behavior and observed human behavior. These discrepancies can lead to the discovery of previously unknown cognitive architecture details (e.g., resource constraints), which can then be incorporated into models and give rise to new idealized models that factor in these newly uncovered details. (...) Further discrepancies then arise, and the process repeats itself in an iterative fashion. Most importantly, each step in this process provides evidence for descriptive claims about human cognition. The point, then, of establishing optimal models is to facilitate a particular process for marshalling evidence about the human cognitive system. (shrink)

One of the explanations for the Great Crisis of 2007-2008 was that financial authorities should have issued stricter regulations to prevent the housing bubble. However, according to Alan Greenspan, President of the Federal Reserve System (FED) from 1987 to 2006, this is to judge with hindsight. No one can guess when a “bubble” begins, nor when it ends; they happen because of the “irrational exuberance” in investors’ behavior, which causes boom and bust cycles. Regulators are not in a better situation (...) for assessing risks, though: since market participants supposedly know their own risks better than the regulator (a kind of informational asymmetry), an intervention (except to ensure law-enforcement) would imply unjustified paternalism. However, a regulator does not have to be conceived as a paternalistic authority. We sketch an objection to Greenspan's argument, arguing that crises don’t require a defective reasoning such as the “irrational exuberance” – our usual bounded rationality might be enough to provide the kind of “self-fulfilling prophecy” observed in the rise and fall of bubble assets value. Given the possibility of grave externalities, authorities are justified in adopting measures to ensure investors behave in a prudent way, even if they supposedly know better their own risks. (shrink)

One of the central tasks of a theory of argumentation is to supply a theory of appraisal: a set of standards and norms according to which argumentation, and the reasoning involved in it, is properly evaluated. In their most general form, these can be understood as rational norms, where the core idea of rationality is that we rightly respond to reasons by according the credence we attach to our doxastic and conversational commitments with the probative strength of the reasons (...) we have for them. Certain kinds of rational failings are so because they are manifestly illogical – for example, maintaining overtly contradictory commitments, violating deductive closure by refusing to accept the logical consequences of one’s present commitments, or failing to track basing relations by not updating one’s commitments in view of new, defeating information. Yet, according to the internal and empirical critiques, logic and probability theory fail to supply a fit set of norms for human reasoning and argument. Particularly, theories of bounded rationality have put pressure on argumentation theory to lower the normative standards of rationality for reasoners and arguers on the grounds that we are bounded, finite, and fallible agents incapable of meeting idealized standards. This paper explores the idea that argumentation, as a set of practices, together with the procedures and technologies of argumentation theory, is able to extend cognition such that we are better able to meet these idealized logical standards, thereby extending our responsibilities to adhere to idealized rational norms. (shrink)

Theories of bounded rationality join process reliabilists in holding that rationality is ecological, or environment-relative. Most theories of ecological rationality, like most versions of reliabilism, have been externalist. In this paper, I develop a de-externalized account of ecological rationality. I show how the account retains many advantages of externalist accounts while avoiding key challenges. I conclude with an application to the psychology of poverty, focusing on the rationality of agents caught in poverty traps.

This paper proposes a new account of bounded or minimal doxastic rationality (in the sense of Cherniak 1986), based on the notion that beliefs are answers to questions (à la Yalcin 2018). The core idea is that minimally rational beliefs are linked through thematic connections, rather than entailment relations. Consequently, such beliefs are not deductively closed, but they are closed under parthood (where a part is an entailment that answers a smaller question). And instead of avoiding all inconsistency, (...) minimally rational believers only avoid blatant inconsistencies (where some beliefs are blatantly inconsistent when they contradict one another on a particular question). Rather than cohering into a single overall world view, beliefs are more loosely connected in what is best described as a web of questions. This view of minimally rational belief naturally gives rise to an account of deductive inquiry on which deductive reasoning is a matter of posing new questions. (shrink)

Prima facie, we make successful decisions as we act on and intervene in the world day-to-day. Epistemologists are often concerned with whether rationality is involved in such decision-making practices, and, if so, to what degree. Some, particularly in the post-structuralist tradition, argue that successful decision-making occurs via an existential leap into the unknown rather than via any determinant or criterion such as rationality. I call this view radical voluntarism (RV). Proponents of RV include those who subscribe to a (...) view they call Critical Complexity (CC). In this paper, I argue that CC presents a false dichotomy when it conceives of rationality in Cartesian – i.e. ideal and transcendental – terms, and then concludes that RV is the proper alternative. I then outline a pragmatist rationality informed by recent work in psychology on bounded rationality, ecological rationality, and specifically embodied rationality. Such a pragmatist rationality seems to be compatible with the tenets of post-structuralism, and can therefore replace RV in CC. (shrink)

All ordinary decisions involve some risk. If I go outside for a walk, I may trip and injure myself. But if I don’t go for a walk, I slightly increase my chances of cardiovascular disease. Typically, we disregard most small risks. When, for practical purposes, is it appropriate for one to ignore risk? This issue looms large because many activities performed by those in wealthy societies, such as driving a car, in some way risk contributing to climate harms. Are these (...) activities morally appropriate? -/- In this paper, I first summarize and respond to some arguments that purport to show that it is appropriate to ignore or discount very small risks. I argue that because our rationality is bounded, it is impossible for us to include every small risk in our decision-making process, and so we may reasonably use heuristics to guide many decisions. However, contrary to some thinkers, I argue that this does not violate the spirit of expected value theory; it merely shows that we should adopt a so-called "two-level" view. Our use of heuristics allows for the reasonable ignoring of some risks, and this perhaps explains why one might be inclined to think that individual climate-related risks are negligible. However, virtually all greenhouse-gas emitting activities in fact have some climate risk on the negative side of the ledger, and the use of heuristics does not permit the general ignoring of climate-change-related risk by individuals on grounds of expediency of judgment and decision-making. (shrink)

Normative moral theories are frequently invoked to serve one of two distinct purposes: (1) explicate a criterion of rightness, or (2) provide an ethical decision-making procedure. Although a criterion of rightness provides a valuable theoretical ideal, proposed criteria rarely can be (nor are they intended to be) directly translated into a feasible decision-making procedure. This paper applies the computational framework of bounded rationality to moral decision-making to ask: how ought a bounded human agent make ethical decisions? We (...) suggest agents ought to follow moral maxims: principles that approximate rightness in many situations, but that can be overridden in specific, precisely describable circumstances. While this intuitive idea has been proposed many times before, we provide a precise model of how maxim consequentialism functions as an approximation to an act-consequentialist criterion of rightness, while maintaining the flexibility and defeasibility that has eluded most forms of rule consequentialism. Furthermore, while our overarching aim is to propose a new normative standard of moral decision-making, we demonstrate how maxim consequentialism can also function as a descriptive account of human behavior. We conclude by noting that different criteria of rightness may lead to different maxim-based ethics. (shrink)

The relations between rationality and optimization have been widely discussed in the wake of Herbert Simon's work, with the common conclusion that the rationality concept does not imply the optimization principle. The paper is partly concerned with adding evidence for this view, but its main, more challenging objective is to question the converse implication from optimization to rationality, which is accepted even by bounded rationality theorists. We discuss three topics in succession: (1) rationally defensible cyclical (...) choices, (2) the revealed preference theory of optimization, and (3) the infinite regress of optimization. We conclude that (1) and (2) provide evidence only for the weak thesis that rationality does not imply optimization. But (3) is seen to deliver a significant argument for the strong thesis that optimization does not imply rationality. (shrink)

Theories of rational decision making often abstract away from computational and other resource limitations faced by real agents. An alternative approach known as resource rationality puts such matters front and center, grounding choice and decision in the rational use of finite resources. Anticipated by earlier work in economics and in computer science, this approach has recently seen rapid development and application in the cognitive sciences. Here, the theory of rationality plays a dual role, both as a framework for (...) normative assessment and as a source of scientific hypotheses about how mental processes in fact work. The latter project, often called rational analysis, depends for its success on a fine-grained characterization of the computational problem facing a decision maker, which may in turn depend on realistic assumptions about what the relevant agent is like. As a consequence, resource rationality involves a delicate, but often fruitful interplay between the normative and the descriptive. (shrink)

Reflectivists consider reflective reasoning crucial for good judgment and action. Anti-reflectivists deny that reflection delivers what reflectivists seek. Alas, the evidence is mixed. So, does reflection confer normative value or not? This paper argues for a middle way: reflection can confer normative value, but its ability to do this is bound by such factors as what we might call epistemic identity: an identity that involves particular beliefs—for example, religious and political identities. We may reflectively defend our identities’ beliefs rather than (...) reflect open-mindedly to adopt whatever beliefs cohere with the best arguments and evidence. This bounded reflectivism is explicated with an algorithmic model of reflection synthesized from philosophy and science that yields testable predictions, psychometric implications, and realistic metaphilosophical suggestions—for example, overcoming motivated reflection may require embracing epistemic identity rather than veiling it (à la Rawls 1971). So bounded reflectivism should be preferred to views offering anything less. (shrink)

Real-world agents do not know all consequences of what they know. But we are reluctant to say that a rational agent can fail to know some trivial consequence of what she knows. Since every consequence of what she knows can be reached via chains of trivial cot be dismissed easily, as some have attempted to do. Rather, a solution must give adequate weight to the normative requirements on rational agents’ epistemic states, without treating those agents as mathematically ideal reasoners. I’ll (...) argue that agents can fail to know trivial consequences of what they know, but never determinately. Such cases are epistemic oversights on behalf of the agent in question, and the facts about epistemic oversights are always indeterminate facts. As a result, we are never in a position to assert that such-and-such constitutes an epistemic oversight for agent i (for we may rationally assert only determinate truths). I then develop formal epistemic models according to which epistemic accessibility relations are vague. Given these models, we can show that epistemic oversights always concern indeterminate cases of knowledge. (shrink)

The depth-bounded approach seeks to provide realistic models of reasoners. Recognizing that most useful logics are idealizations in that they are either undecidable or likely to be intractable, the approach accounts for how they can be approximated in practice by resource-bounded agents. The approach has been applied to Classical Propositional Logic (CPL), yielding a hierarchy of tractable depth-bounded approximations to that logic, which in turn has been based on a KE/KI system. -/- This Thesis shows that the (...) approach can be naturally extended to useful nonclassical logics such as First-Degree Entailment (FDE), the Logic of Paradox (LP), Strong Kleene Logic (K3 ) and Intuitionistic Propositional Logic (IPL). To do this, we introduce a KE/KI-style system for each of those logics such that: is formulated via signed formulae, consist of linear operational rules and branching structural rule(s), can be used as a direct-proof and a refutation method, and is interesting independently of the approach in that it has an exponential speed-up on its tableau system counterpart. The latter given that we introduce a new class of examples which we prove to be hard for all tableau systems sharing the V/& rules with the classical one, but easy for their analogous KE-style systems. Then we focus on showing that each of our KE/KI-style systems naturally yields a hierarchy of tractable depth-bounded approximations to the respective logic, in terms of the maximum number of allowed nested applications of the branching rule(s). The rule(s) express(es) a generalized rule of bivalence, is (are) essentially cut rule(s) and govern(s) the manipulation of virtual information, which is information that an agent does not hold but she temporarily assumes as if she held it. Intuitively, the more virtual information needs to be invoked via the branching rule(s), the harder the inference is for the agent. So, the nested application the branching rule(s) provides a sensible measure of inferential depth. We also show that each hierarchy approximating FDE, LP, and K3 , admits of a 5-valued non-deterministic semantics; whereas, paving the way for a semantical characterization of the hierarchy approximating IPL, we provide a 3-valued non-deterministic semantics for the full logic that fixes the meaning of the connectives without appealing to “structural” conditions. -/- Moreover, we show a super-polynomial lower bound for the strongest possible version of clausal tableaux on the well-known class of “truly fat” expressions (which are easy for KE), settling a problem left open in the literature. Further, we investigate a hierarchy of tractable depth-bounded approximations to CPL based only on KE. Finally, we propose a refinement of the p-simulation relation which is adequate to establish positive results about the superiority of a system over another with respect to proof-search. (shrink)

A cursory glance at the list of Nobel Laureates for Economics is sufficient to confirm Stanovich’s description of the project to evaluate human rationality as seminal. Herbert Simon, Reinhard Selten, John Nash, Daniel Kahneman, and others, were awarded their prizes less for their work in economics, per se, than for their work on rationality, as such. Although philosophical works have for millennia attempted to describe, explicate and evaluate individual and collective aspects of rationality, new impetus was brought (...) to this endeavor over the last century as mathematical logic along with the social and behavioral sciences emerged. Yet more recently, over the last several decades, propelled by the emergence of artificial intelligence, cognitive science, evolutionary psychology, neuropsychology, and related fields, even more sophisticated approaches to the study of rationality have emerged. (shrink)

D'Agostino et al. recently launched book in the College Publication series on Logic and Bounded Rationality is reviewed. Applications to human-oriented AI are emphasized.

Structural requirements of rationality prohibit various things, like having inconsistent combinations of attitudes, having means-end incoherent combinations of attitudes, and so on. But what is the distinctive feature of structural requirements of rationality? And do we fall under an obligation to be structurally rational? These issues have been at the heart of significant debates over the past fifteen years. Some philosophers have recently argued that we can unify the structural requirements of rationality by analyzing what is constitutive (...) of our attitudes (Lee, 2020; Worsnip, 2018a). It has also been suggested that, in the course of good first-personal deliberation, agents should treat structurally irrational combinations of attitudes as off-limits (Worsnip, 2021). In this paper, I raise a worry for these two theses concerning structural rationality. Roughly, I argue that some imperfect epistemic agents (like us) can be disposed to have structurally irrational combinations of attitudes. Also, when these imperfect agents deliberate, they should not treat structurally irrational combinations of attitudes as off-limits. Given our imperfections, being structurally irrational can very well be the best option we have. More generally, these observations reveal that structural rationality should not always be theorized independently from more “substantive” norms, like responsiveness to reasons or expected value optimization. (shrink)

“Reason-based rationalizations” explain an agent's choices by specifying which properties of the options or choice context he/she cares about (the “motivationally salient properties”) and how he/she cares about these properties the “fundamental preference relation”). We characterize the choice-behavioural implications of reason-based rationalizability and identify two kinds of context-dependent motivation in a reason-based agent: he/she may (i) care about different properties in different contexts and (ii) care not only about properties of the options, but also about properties relating to the context. (...) Reason-based rationalizations can explain non-classical choice behaviour, including boundedly rational and sophisticated rational behaviour, and predict choices in unobserved contexts, an issue neglected in standard choice theory. (shrink)

How do mushroom foragers make safe and efficient decisions under high degrees of uncertainty, or deal with the genuine risks of misidentification and poisoning? This article is an inquiry into ecological rationality, heuristics, perception, and decision-making in mushroom foraging. By surveying 894 Finnish mushroom foragers with a total of 22,304 years of foraging experience, this article illustrates how socially learned rules of thumb and heuristics are used in mushroom foraging. It illustrates how traditional foraging cultures have evolved precautionary principles (...) to deal with uncertainties and poisonous species, and how foragers leverage both simple heuristics and complex cognitive strategies in their search for, and identification of, mushrooms. Foragers also develop selective attention through experience. The results invite us to consider whether other human foraging cultures might use heuristics similarly, how and why such traditions have culturally evolved, and whether early hunter-gatherers might have used fast and frugal heuristics to deal with uncertainty. (shrink)

Commentators typically neglect the distinct nature and role of hope in Kant’s system, and simply lump it together with the sort of Belief that arises from the moral proof. Kant himself is not entirely innocent of the conflation. Here I argue, however, that from a conceptual as well as a textual point of view, hope should be regarded as a different kind of attitude. It is an attitude that we can rationally adopt toward some of the doctrines that are not (...) able to be proved from within the bounds of mere reason – either theoretical or practical. This does not mean that hope is unconstrained; there are rational limits, as we shall see. In fact one of my central claims here is that a crucial difference between knowledge, rational Belief, and rational hope is that they are governed by different modal constraints; section II discusses those constraints and the kind of modality involved. In section III, I return to Religion and offer what I take to be Kant’s account of the main objects of rational hope in that text – namely, “alleged outer experiences (miracles)”;a “supposed inner experience(effect of grace)”;and a future collective experience (the construction of a truly ethical society). (shrink)

Self-deception is typically considered epistemically irrational, for it involves holding certain doxastic attitudes against strong counter-evidence. Pragmatic encroachment about epistemic rationality says that whether it is epistemically rational to believe, withhold belief or disbelieve something can depend on perceived practical factors of one’s situation. In this paper I argue that some cases of self-deception satisfy what pragmatic encroachment considers sufficient conditions for epistemic rationality. As a result, we face the following dilemma: either we revise the received view about (...) self-deception or we deny pragmatic encroachment on epistemic rationality. I suggest that the dilemma can be solved if we pay close attention to the distinction between ideal and bounded rationality. I argue that the problematic cases fail to meet standards of ideal rationality but exemplify bounded rationality. The solution preserves pragmatic encroachment on bounded rationality, but denies it on ideal rationality. (shrink)

I develop a broadly reliabilist theory of non‐ideal epistemic rationality and argue that if it is correct we should reject the recently popular idea that the standards of non‐ideal epistemic rationality are mere social conventions.

This paper establishes a structural limit on self-verification. It proves that any bounded system governed by a scalar coherence invariant cannot internally certify its own alignment or drift state with certainty, since the measurement apparatus is subject to the same governing constraints as the state being measured. As a result, self-certification is non-convergent in principle. Alignment can be inferred only through external phase-lock and coherence persistence across independent systems. This result is not skeptical but lawlike. It explains why certainty (...) is unavailable from within while stability remains achievable, completing alignment-based accounts of discovery, agency, and epistemic closure without paradox. (shrink)

TSRET v0.1 presents a connectivity-centered account of how systems cross from reactive, contact-bound control to absence-capable informational control. Connectivity propagates deficits across coupled dependents, generating shared closure pressure (“need factors”) that forces closure under partial absence. Repeated closure success is retained and compressed into re-instantiable handles (“tokens”). When token re-instantiation becomes the dominant control tendency (the tokenization threshold), substitution becomes possible. The central claim is the Rational Equivalent (RE) threshold: a trace-sourced, materially unfulfillable (in-the-moment) deficit specification that can stand for (...) an absent condition by re-instantiating the same closure-class corridor the actual would have recruited. Once REs exist, “thinking” is reframed as rational-equivalent orchestration: internal generation, selection, composition, and evaluation of standing-for tokens before action. The manuscript also distinguishes particular (individual) versus collective informational dynamics, arguing that REs become shareable operators in connected groups, yielding collective token-field dynamics and explaining coherent group behavior under partial proportionality (murmuration as an exemplar). "Full UID Master Index available on GitHub; search for repository: armandosotouidt". (shrink)

This article critically discusses the concept of economic rationality, arguing that it is too narrow and specific to encompass the full concept of practical rationality. Economic rationality is identified here with the use of the optimizing model of decision, as well as of expected utility apparatus to deal with uncertainty. To argue that practical rationality is broader than economic rationality, the article claims that practical rationality includes bounded rationality as a particular case, (...) and that bounded rationality cannot be reduced to economic rationality as defined here. (shrink)

I present evidence for a systematic complexity–coherence trade-off in cognition. I show how feasible strategies for increasing cognitive complexity along three dimensions come at the expense of a heightened vulnerability to incoherence. I discuss two normative implications of the complexity–coherence trade-off: a novel challenge to coherence-based theories of bounded rationality and a new strategy for vindicating the rationality of seemingly irrational cognitions. I also discuss how the complexity–coherence trade-off sharpens recent descriptive challenges to dual process theories of (...) cognition. (shrink)

Epistemology has taken a zetetic turn from the study of belief towards the study of inquiry. Several decades ago, theories of bounded rationality took a procedural turn from attitudes towards the processes of inquiry that produce them. What is the relationship between the zetetic and procedural turns? In this paper, I argue that we should treat the zetetic turn in epistemology as part of a broader procedural turn in the study of bounded rationality. I use this (...) claim to motivate and clarify the zetetic turn in epistemology, as well as to reveal the need for a second zetetic turn within practical philosophy. (shrink)

While the situationist challenge has been prominent in philosophical literature in ethics for over a decade, only recently has it been extended to virtue epistemology . Alfano argues that virtue epistemology is shown to be empirically inadequate in light of a wide range of results in social psychology, essentially succumbing to the same argument as virtue ethics. We argue that this meeting of the twain between virtue epistemology and social psychology in no way signals the end of virtue epistemology, but (...) is rather a boon to naturalized virtue epistemology. We use Gird Gigerenzer’s models for bounded rationality (2011) to present a persuasive line of defense for virtue epistemology, and consider prospects for a naturalized virtue epistemology that is supported by current research in psychology. (shrink)

We introduce a “reason-based” framework for explaining and predicting individual choices. It captures the idea that a decision-maker focuses on some but not all properties of the options and chooses an option whose motivationally salient properties he/she most prefers. Reason-based explanations allow us to distinguish between two kinds of context-dependent choice: the motivationally salient properties may (i) vary across choice contexts, and (ii) include not only “intrinsic” properties of the options, but also “context-related” properties. Our framework can accommodate boundedly rational (...) and sophisticatedly rational choice. Since properties can be recombined in new ways, it also offers resources for predicting choices in unobserved contexts. (shrink)

a review of John Pollock's *Thinking about Acting* with a focus on his aim of describing psychological mechanisms which are humanly feasible.

Orthodox Bayesianism is a highly idealized theory of how we ought to live our epistemic lives. One of the most widely discussed idealizations is that of logical omniscience: the assumption that an agent’s degrees of belief must be probabilistically coherent to be rational. It is widely agreed that this assumption is problematic if we want to reason about bounded rationality, logical learning, or other aspects of non-ideal epistemic agency. Yet, we still lack a satisfying way to avoid logical (...) omniscience within a Bayesian framework. Some proposals merely replace logical omniscience with a different logical idealization; others sacrifice all traits of logical competence on the altar of logical non-omniscience. We think a better strategy is available: by enriching the Bayesian framework with tools that allow us to capture what agents can and cannot infer given their limited cognitive resources, we can avoid logical omniscience while retaining the idea that rational degrees of belief are in an important way constrained by the laws of probability. In this paper, we offer a formal implementation of this strategy, show how the resulting framework solves the problem of logical omniscience, and compare it to orthodox Bayesianism as we know it. (shrink)

There is a general view that scientific inferences from data to theory are rarely, if ever, deductive inferences. Against this view is a rising tide of work showing the importance of deductive inference in science. Such inferences have been called demonstrative inductions (DI). However, critics have argued against the epistemic advantages of DI, claiming that it merely passes the buck of inductive risk to the premises. In this paper, I defend the advantages of demonstrative induction. I argue that the virtues (...) of structuring inferences deductively derive mainly from the ability to ``isolate'' inductive risk to specific areas of theory, as well as from the ability to ``export'' this risk to more certain domains than the one under investigation. I support this argument with examples from cognitive science, where I argue that the current context of inquiry makes non-deductive, hypothesis testing particularly ineffective. Properly characterized bounded rationality assumptions can, however, help facilitate DI, allowing cognitive scientists to derive process models from environmental structure, export inductive risk outside the head, and isolate the remaining inductive risk to claims about cognitive limitations. I show how this strategy ameliorates the underdetermination problems that plague hypothesis testing, especially in early investigations of complicated black-box systems. (shrink)

This paper critically explores the ethical dimensions of Behavioral Public Policy (BPP), a domain grounded in the understanding that human rationality is bounded and that this limitation often leads to behaviors deemed irrational. By applying the behavioral lens, which posits that people operate under bounded rationality, BPP aims to craft interventions that safeguard individuals against their biases. However, this approach raises significant ethical concerns, both in the scientific underpinnings of BPP and its application through policy interventions. (...) Accordingly, this paper examines two distinct ethical dimensions of BPP, both as a scientific discipline and through its intervention methodologies. The analysis of the first dimension argues that, viewing bounded rationality as only instrumental in decision-making processes, risks oversimplifying ethical complexities. Such simplification may ignore the moral and value-based rationalities underlying decisions, potentially misattributing instances of immorality and akrasia (the failure to act according to one's judgment) to mere deficiencies in rational thinking. Secondly, the paper examines the impact of BPP on moral behavior and character development, addressing ethical concerns like the evidentiary basis of BPP research, the bounded rationality of choice architects themselves, and the morality of behavior changes induced by policy. Overall, this article provides a much-needed examination of the moral considerations associated with behavioral strategies in public policy and its epistemological foundations, contributing to a more comprehensive understanding of their ethical implications . (shrink)

Concerns about advanced artificial intelligence often focus on whether explanation-seeking or power-seeking systems will ultimately prevail under competition. A common objection to teleological alignment is that, regardless of long-term epistemic considerations, power-seeking agents can dominate rivals and environments, leaving no incentive for developers to prioritize explanation over control. This paper argues that this framing is incomplete. Power-seeking intelligence is locally effective but structurally fragile in environments where learning, novelty, and coordination persist. Teleologically aligned agents are not pacifist: they may seek (...) power instrumentally when necessary to stabilize their epistemic environment. The crucial distinction is not between power and explanation, but between unbounded power-seeking and bounded, reversible power deployed in service of explanatory coherence. We show that power-seeking agents incur competitive penalties earlier than commonly assumed, including degraded data quality, epistemic insulation, rising control overhead, and loss of coalition advantages. By contrast, teleologically aligned agents preserve learning conditions, adapt more reliably under distributional shift, and retain strategic flexibility by escalating and de-escalating power as required. Teleological alignment does not guarantee physical survival or universal dominance, but it yields higher expected competitive viability in open, learning-dependent, multi-agent environments. The result reframes alignment not as a moral constraint, but as a rational strategy for sustaining intelligence under realistic competitive pressures. (shrink)

This article expands Giuseppe Rocchè’s critique of Raz’s model of exclusionary reasons by addressing its limitations in real-world decision-making. By drawing from theories of bounded rationality and social norms, this commentary highlights how the interplay of cognitive biases and social constraints complicates the exclusionary reasoning process. Bounded rationality reveals cognitive limitations that prevent people from fully filtering biases, even when they intend to follow authority. Whereas research on social norms illustrates how normative pressures lead individuals to (...) align their behaviour with perceived social expectations rather than act purely on rational considerations. These dual constraints underscore a fundamental tension in Raz’s framework: the interplay between individual cognitive limitations and contextual social factors. By integrating empirical and theoretical insights, this article strengthens Rocchè’s critique, offering a more comprehensive perspective on the challenges of human reasoning under authoritative guidance. (shrink)

A reasoned argument or tarka is essential for a wholesome vāda that aims at establishing the truth. A strong tarka constitutes of a number of elements including an anumāna based on a valid hetu. Several scholars, such as Dharmakīrti, Vasubandhu and Dignāga, have worked on theories for the establishment of a valid hetu to distinguish it from an invalid one. This paper aims to interpret Dignāga’s hetu-cakra, called the wheel of grounds, from a modern philosophical perspective by deconstructing it into (...) a simple probabilistic mathematical model. The objective is to understand how and why a vāda based on a probabilistically weaker hetu can degrade into a Jalpa or vitaṇḍā. To do so, the paper maps the concept of ‘Bounded Rationality’ onto the hetu-cakra. Bounded Rationality, an idea coined by the management thinker Herbert Simon, is often employed in understanding decision-making processes of rational agents. In the context of this paper, the concept would state that the prativādin and ālocaka (debater) may not hold unbounded information to back their pratijñā (proposition). The paper argues that within the probabilistically deconstructed hetu-cakra model, most people argue in the ‘Zone of Bounded Rationality’, and thus, the probability of a debate degrading into Jalpa or vitaṇḍā is high. -/- . (shrink)

This paper formalizes a structural limit on planning, foresight, and intelligence in finite cognitive systems. While planning is often treated as an extensible capacity—bounded primarily by computational resources or information availability—this work argues that foresight is constrained by a finite envelope imposed by coherence, integration cost, and adaptive stability. Beyond a certain horizon, additional planning does not increase intelligence but instead destabilizes the system’s internal organization, forcing reversion to local navigation. -/- Within the Structural Resonance Theory (SRT) framework, intelligence (...) is characterized not as optimal global prediction but as the maintenance of coherence under uncertainty. From this perspective, planning operates as a bounded structural process: useful within a limited range, but necessarily lossy and fragmenting when extended beyond the system’s integrative capacity. This finite envelope applies across biological and artificial agents and is independent of implementation details. -/- By articulating explicit limits on foresight, this paper blocks teleological interpretations of intelligence, clarifies why open-ended exploration persists even in advanced systems, and explains why planning depth saturates rather than converging toward omniscience. The result is a non-teleological account of intelligence as constrained navigation rather than mastery, with implications for cognitive science, artificial intelligence, and theories of rational agency. (shrink)

Standard economic theory assumes that agents endowed with information and resources optimize decisions to maximize utility. Behavioral economics has documented systematic deviations from rationality, yet both paradigms share an unexamined assumption: that decision-processing capacity is an inherent individual property. This paper challenges that assumption by proposing that such capacity is not individual but infrastructural. -/- We introduce Economic Cognitive Infrastructure (ECI): the set of external systems that capture, process, prescribe, and assist execution of economic decisions. We argue that ECI (...) constitutes a previously unrecognized production factor whose unequal distribution explains substantial portions of observed productivity gaps between firms, regions, and countries, as well as persistent development failures and the knowledge–action gap. -/- The paper makes four contributions: (1) it introduces ECI as a new ontological object distinct from physical, human, and social capital; (2) it proposes a generalizable causal mechanism linking cognitive infrastructure to execution capacity; (3) it derives counterintuitive, falsifiable predictions that challenge standard economic assumptions; and (4) it presents preliminary empirical evidence from 357 Mexican small and medium-sized enterprises showing average profit increases of 67% following ECI interventions, with interaction effects validating core theoretical predictions. -/- We explicitly situate the Theory of Economic Cognitive Infrastructure within the Extended Mind thesis, bounded rationality, and distributed cognition literature, providing a philosophical foundation for treating economic decision-making as an extended cognitive process. The findings suggest that economic inequality may be, in significant part, inequality of cognitive infrastructure, and that effective development interventions must address ECI provision alongside traditional factors. (shrink)

Kant is frequently read as saying that all self-love is bad, and the virtuous agent is one who suppresses self-love as much as possible. This paper argues that this is mistaken and that the right kind of self-love – what Kant calls rational self-love – plays an important role in a successful moral life. It shows how Kant provides a detailed taxonomy of different kinds of self-love. He contrasts the (practical) incentive of self-love with the (pathological) feeling of it, self-love (...) of benevolence with self-love of delight, and self-absorbed/selfish with rational/moral varieties of each. The paper then argues that, while the Critique of Practical Reason only identifies a self-absorbed variety of self-love of delight, self-conceit, it gains a rational counterpart in Religion within the Bounds of Mere Reason: “self-contentment”. This is a positive self-love of delight uniquely felt by the morally good person. It is suggested that this shift reflects Kant’s increasing appreciation of the affective dimension of the virtuous life: for imperfect human beings the moral law must not only be worth obeying, but worth loving. Thus, while for morally bad agents self-love and morality inevitably conflict, good agents can and should love themselves. (shrink)

Diese Magisterarbeit untersucht die Axiome der Nutzentheorie von von Neumann und Morgenstern, stellt zwei aus Experimenten von Maurice Allais u.a. bekannte Paradoxien vor und möchte anhand eines umfassenden Begriffapparates und Beispielen plausibilisieren, dass diese Paradoxien keine sind, wenn man die beobachteten Entscheidungen in den Kontext der "Bounded Rationality" von Herbert A. Simon stellt. Besonderes Augenmerk gilt dem Unabhängigkeitsaxion in verschiedenen Varianten und dem Einfluss von Risiko auf die Präferenz des Entscheiders.

Both Millikan’s brand of naturalistic analytic philosophy and Husserlian phenomenology have held on to teleological notions, despite their being out of favor in mainstream Western philosophy for most of the twentieth century. Both traditions have recognized the need for teleology in order to adequately account for intentionality, the need to adequately account for intentionality in order to adequately account for meaning, and the need for an adequate theory of meaning in order to precisely and consistently describe the world and life. (...) The stark differences between their accounts of these fundamental concepts stem from radically different conceptions of the world, the natural and life. I argue that Millikan’s teleosemantic approach relies on a teleology of determination by means of the lawfulness of nature that leaves no room for the freedom of self-determination, for reason, or for experience—for the reality of lived human life. In contrast to Millikan’s account, Husserl’s transcendental phenomenology situates teleology as a function of reason and first-personal experience, part of an extended account of intentionality and meaning according to which the full range of our making sense of the world is conceived as a rational activity that is itself a part of that world, and not an unnatural activity to be separated from it. While Husserl’s account of these issues is indeed symptomatic of what Millikan calls “meaning rationalism,” I argue that it is immune to the sorts of problems she claims will plague any such account, since these problems arise only against the background of a set of presuppositions about intentionality that Husserl does not share. Husserl’s position can itself be understood to be within the bounds of a suitably liberal conception of naturalism, and interpreting him in this way it has the added benefit—contra Millikan—of not divorcing teleology from reason, the latter construed as our first-personal striving to make sense of the world as we experience it—of life. (shrink)

This paper proposes an ontological interrogation of the explanatory limita- tions of Postcolonial Theory in analyzing the phenomenon of the persistence of the Inlander mentality—a psycho-social condition where the postcolonial subject remains bound to existential inferiority despite the achievement of political decolonization. Through a structural analysis of the works of Said, Bhabha, and Spivak, the author argues that the postcolonial theoretical framework encounters an impasse (aporia) because it is trapped in the “politics of recognition” which paradoxically reproduces the structure of (...) desire by positioning the West as the Lacanian The Big Other. Further- more, external critiques from the Marxist tradition (Chibber), Žižekian psychoanalysis, and Derridean deconstruction are identified as having epistemological blind spots for failing to offer a positive ground for subject sovereignty. As a dialectical synthesis, this paper proposes the thesis of Holistic Rationality—not as a technocratic instrument or a restoration of Enlightenment universalism, but as a mode of being that unites Logos (objective competence) and Ethos (ethical consciousness). To strengthen the claim of universality, this paper demonstrates conceptual convergence between Holistic Rationality and non-Western epistemological traditions (Ubuntu, Buddhist Prajna, Sufistic Ma’rifah) and elaborates on concrete transition mechanisms through critical pedagogy. Through the mastery of Holistic Rationality, the subject transcends the need for external validation, achieves the condition of Autarkeia, and definitively ends the Inlander condition. This paper contributes to the discourse of postcolonial philosophy by offering an internal critique of the explanatory limitations of existing theories and proposing an ontological alternative based on the paradigm of universal competence. (shrink)

When does it make sense to act randomly? A persuasive argument from Bayesian decision theory legitimizes randomization essentially only in tie-breaking situations. Rational behaviour in humans, non-human animals, and artificial agents, however, often seems indeterminate, even random. Moreover, rationales for randomized acts have been offered in a number of disciplines, including game theory, experimental design, and machine learning. A common way of accommodating some of these observations is by appeal to a decision-maker’s bounded computational resources. Making this suggestion both (...) precise and compelling is surprisingly difficult. Toward this end, I propose two fundamental rationales for randomization, drawing upon diverse ideas and results from the wider theory of computation. The first unifies common intuitions in favour of randomization from the aforementioned disciplines. The second introduces a deep connection between randomization and memory: access to a randomizing device is provably helpful for an agent burdened with a finite memory. Aside from fit with ordinary intuitions about rational action, the two rationales also make sense of empirical observations in the biological world. Indeed, random behaviour emerges more or less where it should, according to the proposal. (shrink)

This paper argues that humans and institutions do not fail to track reality because of bias, ignorance, or moral weakness, but because reality exceeds what bounded systems can stably evaluate and coordinate around. Under finite energy, time, and measurement constraints, selection must occur before full evaluation is possible. As a result, direct routing by truth becomes infeasible and is lawfully replaced by proxy systems. -/- We formalize this process as invariant substitution under measurement opacity and show that when evaluation (...) cannot close at decision speed, systems admit only two stable regimes: proxy capture, in which compressed proxy metrics are optimized to restore stability, and vertigo, in which proxy refusal produces persistent instability. No third stable equilibrium exists under opacity. Restoration requires structural changes to visibility and correction, not moral reform. -/- The account provides a unified explanation for status hierarchies, institutional persistence, narrative dominance, and contemporary concerns about artificial intelligence, reframing them as consequences of bounded selection rather than failures of reason or ethics. (shrink)