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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... 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 . ) o 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 . ) o 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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... meaning between the two sentences of each pair . John slapped Bill . John punched Bill . Bill drank his coke . Bill ... meanings . For each of the sentences , choose an appropriate representational formalism and show how the different ...
... meaning between the two sentences of each pair . John slapped Bill . John punched Bill . Bill drank his coke . Bill ... meanings . For each of the sentences , choose an appropriate representational formalism and show how the different ...
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A.I. programs algorithm answer applied approach appropriate arcs ARMEMPTY backtracking best-first search blocks world branching factor breadth-first search Caesar Chapter chess clauses CLEAR(A complete concept conceptual dependency consider constraint contains database described discussed domain example expert systems exploit explore fact frame game tree given grammar graph heuristic function important input INTERLISP ISA links John knowledge representation labelings learning LISP Marcus match minimax move MTRANS MYCIN node objects ON(B operators parsing particular path performed possible preconditions predicate logic probabilistic problem problem-solving produce production systems PROLOG propositional logic question reasoning representing knowledge resolution rules satisfied script search procedure search process Section semantic net semantic nets sentence shown in Figure simple situation slots solution solve specific statements step strategy structure successors Suppose syntactic task techniques theorem things tion tree true understanding UNSTACK variable variety vertex