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Inhaltsangabe
This text provides an introductory-level overview of artificial intelligence (AI). It features clear presentation of principles integrated with short, workable programs which are designed to help students to learn by experimentation and to develop an intuitive understanding of the subject. The book features: expression of AI theory in programs written with common LISP, the established standard for the field; new chapters on common sense reasoning and neural networks; new sections on global variables, LISP structures, LISP association lists, iterative deepening, constructing decision trees, genetic algorithms and embedded AI; expanded coverage of expert systems; updated programming style in example programs, plus many new example programs; and coverage of additional Common LISP features.
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This text provides an introductory-level overview of artificial intelligence (AI). It features clear presentation of principles integrated with short, workable programs which are designed to help students to learn by experimentation and to develop an intuitive understanding of the subject. The book features: expression of AI theory in programs written with common LISP, the established standard for the field; new chapters on common sense reasoning and neural networks; new sections on global variables, LISP structures, LISP association lists, iterative deepening, constructing decision trees, genetic algorithms and embedded AI; expanded coverage of expert systems; updated programming style in example programs, plus many new example programs; and coverage of additional Common LISP features.
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