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 136
... fact represented by that sentence can be represented in logic as Dog ( Spot ) Suppose that we also have a representation of the fact that all dogs have tails . Then , using the deductive mechanisms of logic , we may generate the new ...
... fact represented by that sentence can be represented in logic as Dog ( Spot ) Suppose that we also have a representation of the fact that all dogs have tails . Then , using the deductive mechanisms of logic , we may generate the new ...
Página 137
... facts . For example , the two sentences " All dogs have tails " and " Every dog has a tail " could both represent the same fact . On the other hand , the former could represent either the fact that every dog has at least one tail or the ...
... facts . For example , the two sentences " All dogs have tails " and " Every dog has a tail " could both represent the same fact . On the other hand , the former could represent either the fact that every dog has at least one tail or the ...
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... fact that John saw Sue is immediately accessible . But the fact that he spotted her is more difficult to get to . The major advantage of converting all statements into a representation in terms of a small set of primitives is that the ...
... fact that John saw Sue is immediately accessible . But the fact that he spotted her is more difficult to get to . The major advantage of converting all statements into a representation in terms of a small set of primitives is that the ...
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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