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 211
... meaning ; otherwise that Babylonian could have dispensed with his observations and contented himself with reflecting on the meaning of his words . The meanings , then , being different from one another , must be other than the named ...
... meaning ; otherwise that Babylonian could have dispensed with his observations and contented himself with reflecting on the meaning of his words . The meanings , then , being different from one another , must be other than the named ...
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... meanings . For example , the word fly has a different meaning in each of the following sentences : o John flew to New York . ( He rode in a plane from one place to another . ) • John flew a kite . ( He held a kite that was up in the air ...
... meanings . For example , the word fly has a different meaning in each of the following sentences : o John flew to New York . ( He rode in a plane from one place to another . ) • John flew a kite . ( He held a kite that was up in the air ...
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... meaning was in- tended . • Grammatical ambiguity - Each of the possible meanings of a sentence that is grammatically ambiguous in the source language may be represented by a different grammatical structure in the target language ...
... meaning was in- tended . • Grammatical ambiguity - Each of the possible meanings of a sentence that is grammatically ambiguous in the source language may be represented by a different grammatical structure in the target language ...
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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