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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... result of appending SUCC to PATH ( RESULT - SUCC ) . 7. Now that all the successors have been examined , we know what the value of NODE is , as well as what path to take from it . So return the structure VALUE = PATH BEST - SCORE ...
... result of appending SUCC to PATH ( RESULT - SUCC ) . 7. Now that all the successors have been examined , we know what the value of NODE is , as well as what path to take from it . So return the structure VALUE = PATH BEST - SCORE ...
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... result of appending SUCC to PATH ( RESULT - SUCC ) . 4. If PASS - THRESH ( reflecting the current best value ) is not better than USE - THRESH , then we should stop examining this branch . But both thresholds and values have been ...
... result of appending SUCC to PATH ( RESULT - SUCC ) . 4. If PASS - THRESH ( reflecting the current best value ) is not better than USE - THRESH , then we should stop examining this branch . But both thresholds and values have been ...
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... result of appending [ XIL1 ] to L2 is [ XIL3 ] provided that it can be shown that the result of appending L1 to L2 is L3 . Example 2 - Compute the Discriminant of a Quadratic Equation discrim ( A , B , C , D ) : - mult ( B , B ...
... result of appending [ XIL1 ] to L2 is [ XIL3 ] provided that it can be shown that the result of appending L1 to L2 is L3 . Example 2 - Compute the Discriminant of a Quadratic Equation discrim ( A , B , C , D ) : - mult ( B , B ...
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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