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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... Perceptrons , and [ Friedberg , 1958 ] for a discussion of a ran- dom programming attempt . 11.3 ROTE LEARNING As we have already suggested above , the simplest kind of machine learning is the straightforward recording of data . Many ...
... Perceptrons , and [ Friedberg , 1958 ] for a discussion of a ran- dom programming attempt . 11.3 ROTE LEARNING As we have already suggested above , the simplest kind of machine learning is the straightforward recording of data . Many ...
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... Perceptron , a Probabilistic Model for Information Organization and Storage in the Brain , " Psychological Review , Vol . 65 , pp . 368-408 , 1958 . Sacerdoti , E. D. , “ Planning in a Hierarchy of Abstraction Spaces , " Artificial ...
... Perceptron , a Probabilistic Model for Information Organization and Storage in the Brain , " Psychological Review , Vol . 65 , pp . 368-408 , 1958 . Sacerdoti , E. D. , “ Planning in a Hierarchy of Abstraction Spaces , " Artificial ...
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... Perceptrons 17 , 363 Performance analysis 102 Physical symbol system 3 Pixels 349 Plan revision 42 Plan - generate - test 74 Planboxes 331 PLANNER 60 , 240 , 392 , 396 Planning 42 , 74 , 241 , 247 Plans 331 Plateaux 76 Plausible - move ...
... Perceptrons 17 , 363 Performance analysis 102 Physical symbol system 3 Pixels 349 Plan revision 42 Plan - generate - test 74 Planboxes 331 PLANNER 60 , 240 , 392 , 396 Planning 42 , 74 , 241 , 247 Plans 331 Plateaux 76 Plausible - move ...
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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