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 208
... John punched Mary might be represented as shown in Figure 7-2 ( a ) . The represen- tation says that there was physical contact between John's fist and Mary . The contact was caused by John propelling his fist toward Mary , and in order ...
... John punched Mary might be represented as shown in Figure 7-2 ( a ) . The represen- tation says that there was physical contact between John's fist and Mary . The contact was caused by John propelling his fist toward Mary , and in order ...
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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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Elaine Rich. Did John eat dinner last night ? you would almost certainly respond that he did , even though you were not told so explicitly . By using the restaurant script , a computer question - answerer would also be able to infer that ...
Elaine Rich. Did John eat dinner last night ? you would almost certainly respond that he did , even though you were not told so explicitly . By using the restaurant script , a computer question - answerer would also be able to infer that ...
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A.I. programs algorithm answer applied approach appropriate arcs ARMEMPTY backtracking best-first search blocks world branching factor breadth-first search Caesar Chapter chess clauses CLEAR(A complete concept conceptual dependency consider constraint contains database described discussed domain example expert systems exploit explore fact frame game tree given grammar graph heuristic function important input INTERLISP ISA links John knowledge representation labelings learning LISP Marcus match minimax move MTRANS MYCIN node objects ON(B operators parsing particular path performed possible preconditions predicate logic probabilistic problem problem-solving produce production systems PROLOG propositional logic question reasoning representing knowledge resolution rules satisfied script search procedure search process Section semantic net semantic nets sentence shown in Figure simple situation slots solution solve specific statements step strategy structure successors Suppose syntactic task techniques theorem things tion tree true understanding UNSTACK variable variety vertex