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 91
... prove X if we could prove Y. We might then show that we could prove Y if we could prove X. But such a circular path can never constitute a proof . So the path can be omitted from the graph without risk of missing a solution . Although ...
... prove X if we could prove Y. We might then show that we could prove Y if we could prove X. But such a circular path can never constitute a proof . So the path can be omitted from the graph without risk of missing a solution . Although ...
Página 159
... prove . Any other contradiction would say that the previously believed statements were inconsistent . • Whenever possible , resolve with clauses with a single literal . Such resolu- tions generate new clauses with fewer literals than ...
... prove . Any other contradiction would say that the previously believed statements were inconsistent . • Whenever possible , resolve with clauses with a single literal . Such resolu- tions generate new clauses with fewer literals than ...
Página 177
... prove true are true ( hopefully none ) and that the rest are not . Then it can go ahead and assume it can use the ... prove X. But since it is not decidable whether X can be proved , the validity of the larger proof in which it is ...
... prove true are true ( hopefully none ) and that the rest are not . Then it can go ahead and assume it can use the ... prove X. But since it is not decidable whether X can be proved , the validity of the larger proof in which it is ...
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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