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 139
... predicate logic , it can still serve as a useful way of representing and manipulating some of the kinds of knowledge that an A.I. sys- tem might need . Let's now explore the use of predicate logic as a way of representing knowledge by ...
... predicate logic , it can still serve as a useful way of representing and manipulating some of the kinds of knowledge that an A.I. sys- tem might need . Let's now explore the use of predicate logic as a way of representing knowledge by ...
Página 158
... predicates they con- tain , combined with an indication of whether or not the predicate is negated . Then , given a particular clause , possible resolvents that contain a complimentary occurrence of one of its predicates can be located ...
... predicates they con- tain , combined with an indication of whether or not the predicate is negated . Then , given a particular clause , possible resolvents that contain a complimentary occurrence of one of its predicates can be located ...
Página 162
... predicates . If the predicate evaluates to F , it can simply be dropped , since adding VF to a disjunction cannot change its truth value . If the predicate evaluates to T , then the generated clause is a tautology and cannot lead to a ...
... predicates . If the predicate evaluates to F , it can simply be dropped , since adding VF to a disjunction cannot change its truth value . If the predicate evaluates to T , then the generated clause is a tautology and cannot lead to a ...
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addition algorithm already answer appear applied approach appropriate Artificial Intelligence attempt better block called Chapter choose clauses combined complete concept consider contains corresponding dependency described discussed domain example exploit explore fact frame function given goal grammar graph heuristic important indicates initial input interpretation involved John kinds knowledge labelings language learning logic look machine Marcus match means methods move natural necessary node objects occur operators particular path patterns perform position possible predicate present problem procedure produce prove question reasoning representation represented result rules satisfied script selected semantic sentence shown in Figure shows simple single situation solution solve space specific stack statement step stored structure Suppose task techniques things tion tree true understanding variety