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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... 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 ...
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... 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 sequence of operations for attaining one goal , followed by a complete sequence for the next , etc. No plans will call for doing some work on one goal , then some on another , and then some more on the first . But for some ...
... complete sequence of operations for attaining one goal , followed by a complete sequence for the next , etc. No plans will call for doing some work on one goal , then some on another , and then some more on the first . But for some ...
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A.I. programs algorithm answer applied approach appropriate arcs ARMEMPTY Artificial Intelligence backtracking best-first search blocks world branching factor breadth-first search Caesar Chapter chess clauses CLEAR(A complete concept conceptual dependency consider constraints contains database described discussed domain example exploit explore fact frame game tree goal grammar graph heuristic heuristic function important input INTERLISP ISA links John knowledge representation labelings LISP Marcus match methods minimax move MYCIN natural language necessary 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 understanding variety