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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... output . It is possible that , if A is added to B , a stable compound will be formed , so that later addition of C will have no effect ; if C is added to B , however , a different stable compound may be formed , so that later addition ...
... output . It is possible that , if A is added to B , a stable compound will be formed , so that later addition of C will have no effect ; if C is added to B , however , a different stable compound may be formed , so that later addition ...
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... Output of the Match The result of the matching process is a list of rules whose left sides have matched the current state description , along with whatever variable bindings were generated by the matching process . It is the job of the ...
... Output of the Match The result of the matching process is a list of rules whose left sides have matched the current state description , along with whatever variable bindings were generated by the matching process . It is the job of the ...
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... output structure always mirrors the structure of the grammar rules that created it , ATNs allow output structures of arbitrary form . For an example of their use , see [ Simmons , 1973 ] , which describes a system that uses an ATN ...
... output structure always mirrors the structure of the grammar rules that created it , ATNs allow output structures of arbitrary form . For an example of their use , see [ Simmons , 1973 ] , which describes a system that uses an ATN ...
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addition algorithm already answer appear applied approach appropriate Artificial Intelligence attempt better block called Chapter choose clauses combined complete concept consider contains corresponding dependency described discussed domain example exploit explore fact frame function given goal grammar graph heuristic important indicates initial input interpretation involved John kinds knowledge labelings language learning logic look machine Marcus match means methods move natural necessary node objects occur operators particular path patterns perform position possible predicate present problem procedure produce prove question reasoning representation represented result rules satisfied script selected semantic sentence shown in Figure shows simple single situation solution solve space specific stack statement step stored structure Suppose task techniques things tion tree true understanding variety