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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... Goal Set Using the goal - stack planning method described in the last section , problems in- volving conjoined goals were solved by first solving one of the goals , then another , and so forth , until all of the original ones had been ...
... Goal Set Using the goal - stack planning method described in the last section , problems in- volving conjoined goals were solved by first solving one of the goals , then another , and so forth , until all of the original ones had been ...
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... goals in the goal set require things of each of the three available blocks that preclude their being held . A must be on the table and B must be on C. Thus for any binding of a block to x , a con- tradiction will arise . So both of ...
... goals in the goal set require things of each of the three available blocks that preclude their being held . A must be on the table and B must be on C. Thus for any binding of a block to x , a con- tradiction will arise . So both of ...
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... goal ARMEMPTY . But when we regress ARMEMPTY through UNSTACK , we get False , because ARMEMPTY is in the DELETE list of UNSTACK . Since the goal False can never be attained , this branch can be pruned . The only operator that could be ...
... goal ARMEMPTY . But when we regress ARMEMPTY through UNSTACK , we get False , because ARMEMPTY is in the DELETE list of UNSTACK . Since the goal False can never be attained , this branch can be pruned . The only operator that could be ...
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Términos y frases comunes
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