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 55
... methods . Although a realization of the limited effectiveness of these weak methods to solve hard problems by themselves has been one of the major results to emerge from the last two decades of A.I. research , these techniques continue ...
... methods . Although a realization of the limited effectiveness of these weak methods to solve hard problems by themselves has been one of the major results to emerge from the last two decades of A.I. research , these techniques continue ...
Página 77
... methods , such as the nearest neighbor algo- rithm described in Section 2.1.3 , the advantage of being less combinatorially ex- plosive than comparable global methods . But it also shares with other local methods a lack of a guarantee ...
... methods , such as the nearest neighbor algo- rithm described in Section 2.1.3 , the advantage of being less combinatorially ex- plosive than comparable global methods . But it also shares with other local methods a lack of a guarantee ...
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... methods that are guaranteed to find as good an answer as would be found by exhaustive search , but in less time . How fast a method of this class can we find ? • Methods that may take as long as exhaustive search for some problem in ...
... methods that are guaranteed to find as good an answer as would be found by exhaustive search , but in less time . How fast a method of this class can we find ? • Methods that may take as long as exhaustive search for some problem in ...
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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