Artificial Intelligence, Volumen1McGraw-Hill, 1983 - 436 páginas What is artificial intelligence?; Problem solving; Problems and problem spaces; Basic problem-solving methods; Game playing; Knowledge representation; Knowledge representation using predicate logic; Knowledge representation using other logics; Structured representation of knowledge; Advanced topics; Advanced problem-solving systems; Natural language understanding; Perception; Learning; Implementing A.lI. systems: languages and machines; Conclusion; References; Index. |
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Página 37
... method that was used to obtain it to help solve the new problem . Polya's work serves as an excellent guide for ... method applicable to a large class of problems . It encompasses a variety of specific techniques , each of which is ...
... method that was used to obtain it to help solve the new problem . Polya's work serves as an excellent guide for ... method applicable to a large class of problems . It encompasses a variety of specific techniques , each of which is ...
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... method . It shares with other local methods , such as the nearest neighbor algo- rithm described in Section 2.1.2 , the advantage of being less combinatorially ex- plosive than comparable global methods . But it also shares with other ...
... method . It shares with other local methods , such as the nearest neighbor algo- rithm described in Section 2.1.2 , the advantage of being less combinatorially ex- plosive than comparable global methods . But it also shares with other ...
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... methods that are guaranteed to find as good an answer as would be found by exhaustive search , but in less time . How fast a method of this class can we find ? • Methods that may take as long as exhaustive search for some problem in ...
... methods that are guaranteed to find as good an answer as would be found by exhaustive search , but in less time . How fast a method of this class can we find ? • Methods that may take as long as exhaustive search for some problem in ...
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A.I. programs algorithm answer applied approach appropriate arcs ARMEMPTY Artificial Intelligence backtracking best-first search branching factor breadth-first search Chapter chess clauses CLEAR(A complete Computer concept conceptual dependency consider constraints contains database described discussed domain example expert systems exploit explore fact frame game tree goal grammar graph heuristic heuristic function important input INTERLISP ISA links John knowledge representation labelings learning LISP machine Marcus match methods minimax move MYCIN natural language node objects ON(B operators parsing particular path performed possible preconditions predicate logic probabilistic problem problem-solving produce production system PROLOG propositional logic question reasoning representing knowledge rules Schank script search procedure search process Section semantic net sentence shown in Figure simple situation slots solution solve specific stack statements step strategy structure successors Suppose syntactic task techniques theorem things tion tree true variety