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Artificial Intelligence

Artificial Intelligence. 1. Introduction. Dr. M. Tounsi. Definition (4 categories). Systems that think like humans Systems that act like human Systems that think rationally (right thing) Systems that act rationally (right thing). Human approach Hypothesis Experimental confirmation.

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Artificial Intelligence

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  1. Artificial Intelligence 1. Introduction Dr. M. Tounsi

  2. Definition (4 categories) • Systems that think like humans • Systems that act like human • Systems that think rationally (right thing) • Systems that act rationally (right thing)

  3. Human approach Hypothesis Experimental confirmation Rationalist approach Mathematics Engineering Human  Rationality

  4. Definitions • Thinking Humanly • Cognitive modeling approach: which brings together computer models from AI and experimental techniques from psychology • Acting Humanly: The Turing test (1950) by Alan Turing • Imitation Game • Operational test for intelligent behavior • Computer should be interrogated by a human • Computer should possess: Natural language processing (to communicate) – knowledge representation (to store information) – automated reasoning (to answer questions and draw new conclusion) – machine learning (to adapt new circumstances and to detect and extrapolate patterns)

  5. Definitions • Thinking rationally • Logic ( A is X and all X are Y then A is Y) Problems: - not all informal knowledge state it into formal terms • Acting rationally (intelligent agents) • Doing the right thing • Maximize the goal achievement, given information • Doesn’t necessary involve thinking • It involve solving

  6. Foundations of AI • Philosophy • Mathematics • Probabilistic • Logical • Algorithms • NP-Complete Problems • Computer Engineering (makes AI applicable) • Processor Speed • large memory

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