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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... domain , they usually must be coupled with some special - purpose heuristics that are appropriate for that domain . There are two major ways in which domain - specific , heuristic information can be incorporated into a rule - based ...
... domain , they usually must be coupled with some special - purpose heuristics that are appropriate for that domain . There are two major ways in which domain - specific , heuristic information can be incorporated into a rule - based ...
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... domain for a program such as this . No reasonable number of rules will provide the program with a significant under- standing of the world . So choose a domain where interesting behavior can be exhibited without such understanding ...
... domain for a program such as this . No reasonable number of rules will provide the program with a significant under- standing of the world . So choose a domain where interesting behavior can be exhibited without such understanding ...
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... domain in which we are working and extracted a set of con- straints that objects in the domain must satisfy , we need next to apply those con- straints to the problem of analyzing inputs in the domain . To do this , we use a form of the ...
... domain in which we are working and extracted a set of con- straints that objects in the domain must satisfy , we need next to apply those con- straints to the problem of analyzing inputs in the domain . To do this , we use a form of the ...
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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