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 187
... probabilistic information we need to help us move in the direction that is most likely to lead to a solution . Sometimes this probabilistic information does not even appear as numbers in the program that uses it . Many rule - based ...
... probabilistic information we need to help us move in the direction that is most likely to lead to a solution . Sometimes this probabilistic information does not even appear as numbers in the program that uses it . Many rule - based ...
Página 190
... probabilistic rules , let's stop and look at a couple of additional advantages offered by probabilistic rule - based systems . We introduced these systems as a way of representing the probabilistic in- formation that we need to use as ...
... probabilistic rules , let's stop and look at a couple of additional advantages offered by probabilistic rule - based systems . We introduced these systems as a way of representing the probabilistic in- formation that we need to use as ...
Página 197
... Probabilistic Reasoning a Good 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 ...
... Probabilistic Reasoning a Good 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 ...
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A.I. programs algorithm answer applied approach appropriate arcs ARMEMPTY Artificial Intelligence backtracking best-first search blocks world branching factor breadth-first search Caesar Chapter chess clauses CLEAR(A complete concept conceptual dependency consider constraints contains database described discussed domain example exploit explore fact frame game tree goal grammar graph heuristic heuristic function important input INTERLISP ISA links John knowledge representation labelings LISP Marcus match methods minimax move MYCIN natural language necessary 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 understanding variety