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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... simple indexing scheme only works because preconditions of rules match exact board configurations . Thus the matching process is easy but at the price of complete lack of generality in the statement of the rules . As we discussed in ...
... simple indexing scheme only works because preconditions of rules match exact board configurations . Thus the matching process is easy but at the price of complete lack of generality in the statement of the rules . As we discussed in ...
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... simple target representations . These representations were simple for one or both of the following reasons : • They represented only a very superficial analysis of the sentences . ELIZA [ Weizenbaum , 1966 ] , which was discussed in ...
... simple target representations . These representations were simple for one or both of the following reasons : • They represented only a very superficial analysis of the sentences . ELIZA [ Weizenbaum , 1966 ] , which was discussed in ...
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... simple network and building connections in that network as indicated by rein- forcement from the environment ? Or ... simple data storage , known as rote learning , that are interesting in the way in which simple learning affects the ...
... simple network and building connections in that network as indicated by rein- forcement from the environment ? Or ... simple data storage , known as rote learning , that are interesting in the way in which simple learning affects the ...
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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