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 66
... preconditions of rules match exact board configurations . Thus the matching process is easy but at the price of complete lack of generality in the statement of the rules . As we discussed in Section 2.1 , it is often better to write ...
... preconditions of rules match exact board configurations . Thus the matching process is easy but at the price of complete lack of generality in the statement of the rules . As we discussed in Section 2.1 , it is often better to write ...
Página 100
... Preconditions at ( robot , obj ) A small ( obj ) Results at ( obj , loc ) A at ( robot , loc ) Preconditions none PICKUP ( obj ) PUTDOWN ( obj ) PLACE ( objl , obj2 ) Results at ( robot , loc ) Preconditions at ( robot , obj ) Results ...
... Preconditions at ( robot , obj ) A small ( obj ) Results at ( obj , loc ) A at ( robot , loc ) Preconditions none PICKUP ( obj ) PUTDOWN ( obj ) PLACE ( objl , obj2 ) Results at ( robot , loc ) Preconditions at ( robot , obj ) Results ...
Página 272
... preconditions of lower than peak criticality . Once this is done , use the con- structed plan as the outline of a complete plan , and consider preconditions at the next - lowest criticality level . Augment the plan with operators that ...
... preconditions of lower than peak criticality . Once this is done , use the con- structed plan as the outline of a complete plan , and consider preconditions at the next - lowest criticality level . Augment the plan with operators that ...
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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