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Philip C.Jackson

Introduction to Artificial Intelligence

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Can computers think? Can they use reason to develop their own concepts, solve complex problems, understand our languages? This updated edition of a comprehensive survey includes extensive new text on "Artificial Intelligence in the 21st Century," introducing deep neural networks, conceptual graphs, languages of thought, mental models, metacognition, economic prospects, and research toward human-level AI.
Ideal for both lay readers and students of computer science, the original text features abundant illustrations, diagrams, and photographs as well as challenging exercises. Lucid, easy-to-read discussions examine problem-solving methods and representations, game playing, automated understanding of natural languages, heuristic search theory, robot systems, heuristic scene analysis, predicate-calculus theorem proving, automatic programming, and many other topics.
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958 printed pages
Publication year
2019
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Quotes

  • Medionhas quoted4 years ago
    A universal Turing machine, then, is one that can be "given a program" that enables it to simulate a Turing machine: In fact, a universal Tm is theoretically equivalent to a general-purpose, discrete (or digital) computer, and the program one gives a digital computer is analogous to a descriptive string dT for some Turing machine T.
  • Medionhas quoted4 years ago
    only essential difference between Turing machines and finite-state automata lies in the fact that a Turing machine is able to store its output on a potentially infinite tape and refer to it later
  • Medionhas quoted4 years ago
    In fact, finite-state machines are only the building blocks of automata theory; they represent the simplest type of machine, one in which the future of an occurrence can depend on only a finite number of different "past histories," or states.
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