Artificial intelligence
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This document provides an overview of artificial intelligence (AI). It defines AI as making computers do things that require human intelligence. AI works using artificial neurons that mimic biological neurons. Neural networks are composed of interconnected artificial neurons. The document also discusses expert systems, machine learning, comparisons between human and artificial intelligence, and applications of AI in areas like medicine, archaeology, and geology.
Artificial intelligence
- 1. Artificial Intelligence Pre s Ree ented b y:ma Tar iq
- 2. What is Intelligence??? Intelligence is the ability to learn about, to learn from, to understand about, and interact with one’s environment. Intelligence is the faculty of understanding Intelligence is not to make no mistakes but quickly to understand how to make them good (German Poet)
- 3. What Is Artificial Intelligence??? Artificial Intelligence (AI) is usually defined as the science of making computers do things that require intelligence when done by humans. A.I is the study of ideas that enable computers to be intelligent
- 4. How Does AI Works?? Artificial intelligence works with the help of • Artificial Neurons (Artificial Neural Network) And • Scientific theorems(IfThen Statements, Logics)
- 5. What is Neural Networking?? Artificial neural networks are composed of interconnecting artificial neurons (programming constructs that mimic the properties of biological neurons).
- 6. Dendrites: Accepts Inputs Soma: Processes the Inputs Axon: Turns the processed inputs into outputs Synapses: The electrochemical contact between neurons Sec 2: ANN 6
- 7. An Artificial Neuron Axons Synapses Dendrites X1 W X2 2 Axon 1 X3 Body (Soma) W W f ∑ Output (y) 3 W0 Xn Sec 2: ANN Wn Bias 7
- 8. Turing Test Imitation Game Test!!!! The Turing test is a test of a machine's ability to demonstrate intelligence
- 9. Chinese Room Test A Counter Argument to Turing Test
- 11. Examples Of Artificial Intelligence Expert Systems!! An expert system is a computer program that is designed to hold the accumulated knowledge of one or more domain experts It reasons with knowledge of some specialist subject with a view to solving problems or giving advice They are tested by being placed in the same real world problem solving situation
- 12. Applications of Expert Systems PUFF: Medical system for diagnosis of respiratory conditions PROSPECTOR: Used by geologists to identify sites for drilling or mining
- 13. Applications of Expert Systems DENDRAL: Used to identify the structure of chemical compounds. First used in 1965 LITHIAN: Gives advice to archaeologists examining stone tools
- 14. Machine Learning! Machine learning is a scientific discipline concerned with the design and development of algorithms that allow machines to mimic human intelligence.
- 15. There are Three ways that A.I learns Failure Driven Learning Learning by being Told Learning by Exploration
- 16. Resemblance To Human Mind.... The special ability of artificial intelligence is to reach a solution based on facts rather than on a preset series of steps —is what most closely resembles the thinking function of the human brain
- 17. Human Intelligence VS Artificial Intelligence
- 18. Human Intelligence VS Artificial Intelligence Pros Human Intelligence • Intuition, Common sense, Judgement, Creativity, Beliefs etc • The ability to demonstrate their intelligence by communicating effectively • Plausible Reasoning and Critical thinking Artificial Intelligence • Ability to simulate human behavior and cognitive processes • Capture and preserve human expertise • Fast Response. The ability to comprehend large amounts of data quickly.
- 19. Human Intelligence VS Artificial Intelligence Cons Human Intelligence • Humans are fallible • They have limited knowledge bases • Information processing of serial nature proceed very slowly in the brain as compared to computers • Humans are unable to retain large amounts of data in memory. Artificial Intelligence • No “common sense” • Cannot readily deal with “mixed” knowledge • May have high development costs • Raise legal and ethical concerns
- 20. Human Intelligence VS Artificial Intelligence We achieve more than we know. We know more than we understand. We understand more than we can explain (Claude Bernard, 19th C French scientific philosopher)
- 21. Artificial Intelligence VS Conventional Computing Artificial Intelligence • AI software uses the techniques of search and pattern matching • Programmers design AI software to give the computer only the problem, not the steps necessary to solve it Conventional Computing • Conventional computer software follow a logical series of steps to reach a conclusion • Computer programmers originally designed software that accomplished tasks by completing algorithms
- 22. Psychology And Artificial intelligence The functionalist approach of AI views the mind as a representational system and psychology as the study of the various computational processes whereby mental representations are constructed, organized, and interpreted. (Margaret Boden's essays written between 1982 and 1988)
- 23. Artificial intelligence & Our society Why we need AI?? To supplement natural intelligence for e.g we are building intelligence in an object so that it can do what we want it to do, as for example-- robots, thus reducing human labour and reducing human mistakes
- 24. •My Perspective For Humans Intelligence is no more than TAKING a right decision at right time And For Machines Artificial Intelligence is no more than CHOOSING a right decision at right time I think Artificial intelligence is the Second intelligence ever to exist
- 25. Ahead on Go i Quest With Be Not Afraid Of Falling Be Afraid Of Not Trying
- 26. Artificial Intelligence Our Attempt To Build Models Of Ourselves Thank You Elaine Rich
Editor's Notes
- #10: In this test Searle says to imagine a Man no knowledge of chinese is trapped in a room. He is passed a paper with some chinese writing. He finds a large batch of “Chinese writing” plus “a second batch of Chinese script" and "a set of rules" in English "for correlating the second batch with the first batch. The man follows the instructions and produces a result in chiese language. He himself has no knowledge of the language but gets so good in following instructions that the person standing outside starts to believe that this man is fluent in chinese What Searle describes is a system that produces intelligent, meaningful output, in the absence of true understanding. If you accept this counter-example, then the Turing Test is doomed. The Chinese Room would pass the Turing test, even though it lacks understanding and intelligence.
- #19: The important aspects of human intelligence seem to following the use of intuition, common sense, judgment, creativity, goal directedness, plausible reasoning, knowledge and beliefs. Meaning of intelligence is not human brain’s information processing ability but the ability of humans to demonstrate their intelligence by communicating effectively.