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
... function is a function that maps from problem state descriptions to measures of desirability , usually represented as numbers . Which aspects of the problem state are considered , how those aspects are evaluated , and the weights given ...
... function is a function that maps from problem state descriptions to measures of desirability , usually represented as numbers . Which aspects of the problem state are considered , how those aspects are evaluated , and the weights given ...
Página 72
... 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 function ...
... 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 function ...
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... function , which uses whatever information it has to evaluate individual board positions by es- timating how likely they are to lead eventually to a win . Its function is similar to that of the heuristic function h ' in the A ...
... function , which uses whatever information it has to evaluate individual board positions by es- timating how likely they are to lead eventually to a win . Its function is similar to that of the heuristic function h ' in the A ...
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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