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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... tree traversal . Each node of the tree is expanded by the production rules to generate a set of successor nodes , each of which can in turn be expanded , continuing until a node represent- ing a solution is found . A piece of such a search ...
... tree traversal . Each node of the tree is expanded by the production rules to generate a set of successor nodes , each of which can in turn be expanded , continuing until a node represent- ing a solution is found . A piece of such a search ...
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... tree , which has already been expanded . Those two paths have not gotten us anywhere . So we would like to eliminate ... tree , we traverse a directed graph . This graph differs from a tree in that several paths may come together at a ...
... tree , which has already been expanded . Those two paths have not gotten us anywhere . So we would like to eliminate ... tree , we traverse a directed graph . This graph differs from a tree in that several paths may come together at a ...
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... tree . When it finished searching the tree and propagating the values backward , it had a score for the position represented by the root of the tree . It could then choose the best move and make it . But it also recorded the board ...
... tree . When it finished searching the tree and propagating the values backward , it had a score for the position represented by the root of the tree . It could then choose the best move and make it . But it also recorded the board ...
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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