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 71
... HEURISTIC FUNCTIONS In Section 2.1.2 , a heuristic was defined as a technique that aids in the discovery of solutions to problems even though there is no guarantee that it will never lead in the wrong direction . It was pointed out that ...
... HEURISTIC FUNCTIONS In Section 2.1.2 , a heuristic was defined as a technique that aids in the discovery of solutions to problems even though there is no guarantee that it will never lead in the wrong direction . It was pointed out that ...
Página 72
... Heuristic Functions salesman ) . It does not matter , in general , which way the function is stated . The program that uses the values of the function can attempt to minimize it or to maximize it as appropriate . The purpose of a ...
... Heuristic Functions salesman ) . It does not matter , in general , which way the function is stated . The program that uses the values of the function can attempt to minimize it or to maximize it as appropriate . The purpose of a ...
Página 187
... heuristic functions that evaluate the individual nodes . Consider the simple ... function that estimates how long various paths are likely to be and we begin ... heuristic function that con- sidered only one characteristic of a given ...
... heuristic functions that evaluate the individual nodes . Consider the simple ... function that estimates how long various paths are likely to be and we begin ... heuristic function that con- sidered only one characteristic of a given ...
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A.I. programs algorithm answer applied approach appropriate arcs ARMEMPTY Artificial Intelligence backtracking best-first search blocks world branching factor breadth-first search Caesar Chapter chess clauses CLEAR(A complete concept conceptual dependency consider constraints contains database described discussed domain example exploit explore fact frame game tree goal grammar graph heuristic heuristic function important input INTERLISP ISA links John knowledge representation labelings LISP Marcus match methods minimax move MYCIN natural language necessary 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 understanding variety