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 63
... complete problem state ? • How can the sequences of problem states that arise in a search process be represented efficiently ? For example , a robot's world is composed of many objects . We first dis- cover a way to describe each ...
... complete problem state ? • How can the sequences of problem states that arise in a search process be represented efficiently ? For example , a robot's world is composed of many objects . We first dis- cover a way to describe each ...
Página 95
... complete solution , then report success . 5. If neither a contradiction nor a complete solution has been found , then apply the problem space rules to generate new partial solutions that are consistent with the current set of ...
... complete solution , then report success . 5. If neither a contradiction nor a complete solution has been found , then apply the problem space rules to generate new partial solutions that are consistent with the current set of ...
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... complete search tree of depth D and branching factor F , which , as we have already men- tioned is FD This simple analysis gives us two things : • The motivation to look for improvements on the exhaustive search proce- dure , since a ...
... complete search tree of depth D and branching factor F , which , as we have already men- tioned is FD This simple analysis gives us two things : • The motivation to look for improvements on the exhaustive search proce- dure , since a ...
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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