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 35
... heuristic.5 A heuristic is a technique that improves the efficiency of a search process , possibly by sacrificing claims of completeness . Heuristics are like tour guides . They are good to the extent that they point in interesting ...
... heuristic.5 A heuristic is a technique that improves the efficiency of a search process , possibly by sacrificing claims of completeness . Heuristics are like tour guides . They are good to the extent that they point in interesting ...
Página 71
... heuristics . But in order for them to work well in a specific domain , they usually must be coupled with some special - purpose heuristics that are appropriate for that domain . There are two major ways in which domain - specific , ...
... heuristics . But in order for them to work well in a specific domain , they usually must be coupled with some special - purpose heuristics that are appropriate for that domain . There are two major ways in which domain - specific , ...
Página 72
... heuristic function is to guide the search process in the most profitable direction , by suggesting which path to follow first when more than one is available . The more accurately the heuristic function estimates the true merits of each ...
... heuristic function is to guide the search process in the most profitable direction , by suggesting which path to follow first when more than one is available . The more accurately the heuristic function estimates the true merits of each ...
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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