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 115
... weights to assign to each of the com- ponents . So he employed a simple learning mechanism in which components that had suggested moves that turned out to lead to wins were given an increased weight , while the weights of those that had ...
... weights to assign to each of the com- ponents . So he employed a simple learning mechanism in which components that had suggested moves that turned out to lead to wins were given an increased weight , while the weights of those that had ...
Página 187
... weight to be assigned to each of the factors . Since this is often difficult to do a priori , it is frequently done by some sort of adaptive training mechanism in which the weights are altered each time the program is run , based on its ...
... weight to be assigned to each of the factors . Since this is often difficult to do a priori , it is frequently done by some sort of adaptive training mechanism in which the weights are altered each time the program is run , based on its ...
Página 365
... weights is to begin with some estimate of the correct settings and then to let the program modify the settings on the basis of its experience . Features that appear to be good predictors of overall success will have their weights ...
... weights is to begin with some estimate of the correct settings and then to let the program modify the settings on the basis of its experience . Features that appear to be good predictors of overall success will have their weights ...
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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