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 16
... idea to decide exactly what it is that one is trying to do . So we must ask ourselves , " What is our goal in trying to produce programs that do the intelligent things that people do ? " Are we trying to produce programs that do the ...
... idea to decide exactly what it is that one is trying to do . So we must ask ourselves , " What is our goal in trying to produce programs that do the intelligent things that people do ? " Are we trying to produce programs that do the ...
Página 86
... idea simply to put possible statements on an agenda , wait until a later lull , and then pop out with them . Despite these difficulties , agenda - driven control structures are very useful . They provide an excellent way of integrating ...
... idea simply to put possible statements on an agenda , wait until a later lull , and then pop out with them . Despite these difficulties , agenda - driven control structures are very useful . They provide an excellent way of integrating ...
Página 197
... Idea ? We have just discussed a variety of techniques for handling probabilistic infor- mation . We have also mentioned some dangers inherent in some of those tech- niques . It would be useful if we had a set of guidelines for when ...
... Idea ? We have just discussed a variety of techniques for handling probabilistic infor- mation . We have also mentioned some dangers inherent in some of those tech- niques . It would be useful if we had a set of guidelines for when ...
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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