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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Elaine Rich. 1 . PP ACT John PTRANS John ran . 2 . 3 . a a a ← ← PA 5 . PP PP PA John height ( average ) John is tall . PP PP John doctor John is a doctor . 4. PP boy A nice boy ↑ nice dog John's dog POSS - BY PP John 6 . O ACT ← PP ...
Elaine Rich. 1 . PP ACT John PTRANS John ran . 2 . 3 . a a a ← ← PA 5 . PP PP PA John height ( average ) John is tall . PP PP John doctor John is a doctor . 4. PP boy A nice boy ↑ nice dog John's dog POSS - BY PP John 6 . O ACT ← PP ...
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... John with a broken nose . The CD representation of the information contained in this sentence is shown in Figure 7 ... John that he ( Bill ) will do some- thing to break John's nose . Bill did so in order that John will believe that if ...
... John with a broken nose . The CD representation of the information contained in this sentence is shown in Figure 7 ... John that he ( Bill ) will do some- thing to break John's nose . Bill did so in order that John will believe that if ...
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... John ate dinner , since the restaurant script could have been activated . Since all of the events in the story correspond to the se- quence of events predicted by the script , the program could infer that the entire sequence predicted ...
... John ate dinner , since the restaurant script could have been activated . Since all of the events in the story correspond to the se- quence of events predicted by the script , the program could infer that the entire sequence predicted ...
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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