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 129
... lead to situations that are very bad for us , but one is slightly less bad than the other . But further suppose that the less promising move could lead to a very good situation for us if the opponent makes a single mistake . Although ...
... lead to situations that are very bad for us , but one is slightly less bad than the other . But further suppose that the less promising move could lead to a very good situation for us if the opponent makes a single mistake . Although ...
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... lead to a solution . Sometimes this probabilistic information does not even appear as numbers in the program that uses it . Many rule - based systems operate by choosing , on each cycle , the first rule that matches . Thus implicit in ...
... lead to a solution . Sometimes this probabilistic information does not even appear as numbers in the program that uses it . Many rule - based systems operate by choosing , on each cycle , the first rule that matches . Thus implicit in ...
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... lead to a set of ad- ditional subgoals . Sometimes it is easy to detect that there is no way that a given set of subgoals can all be satisfied at once . For example , the robot arm cannot be both empty and holding a block . Any path ...
... lead to a set of ad- ditional subgoals . Sometimes it is easy to detect that there is no way that a given set of subgoals can all be satisfied at once . For example , the robot arm cannot be both empty and holding a block . Any path ...
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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