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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... things rather than changing old ones are generally ig- norable . Theorem proving , as we have described it , is one ... things do not change ; new things get created . Nonmonotonic , partially commutative systems , on the other hand ...
... things rather than changing old ones are generally ig- norable . Theorem proving , as we have described it , is one ... things do not change ; new things get created . Nonmonotonic , partially commutative systems , on the other hand ...
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... things as " Find examples of a concept you already know . " AM's goal was to generate new " interesting " mathematical con- cepts . It succeeded in discovering such things as prime numbers and Goldbach's conjecture . Armed solely with ...
... things as " Find examples of a concept you already know . " AM's goal was to generate new " interesting " mathematical con- cepts . It succeeded in discovering such things as prime numbers and Goldbach's conjecture . Armed solely with ...
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... things that could prevent the successful use of the boat , includ- ing lack of oars , a leak in the boat , the boat stuck in the mud , and so forth . It is important that the problem - solving program not have to prove explicitly that ...
... things that could prevent the successful use of the boat , includ- ing lack of oars , a leak in the boat , the boat stuck in the mud , and so forth . It is important that the problem - solving program not have to prove explicitly that ...
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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