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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... appear that turn out later to be irrelevant . For the sake of efficiency , it may be desirable to store these things at a very high level and then to analyze in detail only those inputs that appear to be important . A second problem ...
... appear that turn out later to be irrelevant . For the sake of efficiency , it may be desirable to store these things at a very high level and then to analyze in detail only those inputs that appear to be important . A second problem ...
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... appears overall to be the next most promising . Continuing with the example , we see that KS1 generates two hypotheses ... appear to be the most promising path , so it should be explored next . There are several points that can be made ...
... appears overall to be the next most promising . Continuing with the example , we see that KS1 generates two hypotheses ... appear to be the most promising path , so it should be explored next . There are several points that can be made ...
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... ( Appears as Figures 8-9 and 8-10 . ) Woods , W. A. , " Transition Network Grammars for Natural Language Analysis , " Communications of the ACM , Vol . 13 , 1970 , pp . 592 , 594. Copyright 1976 , Association for Computing Machinery . ( ...
... ( Appears as Figures 8-9 and 8-10 . ) Woods , W. A. , " Transition Network Grammars for Natural Language Analysis , " Communications of the ACM , Vol . 13 , 1970 , pp . 592 , 594. Copyright 1976 , Association for Computing Machinery . ( ...
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A.I. programs algorithm answer applied approach appropriate arcs ARMEMPTY Artificial Intelligence backtracking best-first search branching factor breadth-first search Chapter chess clauses CLEAR(A complete Computer concept conceptual dependency consider constraints contains database described discussed domain example expert systems exploit explore fact frame game tree goal grammar graph heuristic heuristic function important input INTERLISP ISA links John knowledge representation labelings learning LISP machine Marcus match methods minimax move MYCIN natural language 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 variety