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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... regions . Then the number of 1's in each region is counted and recorded in the vector position corresponding to that region . N must be large enough that all the patterns are represented as different vectors . To classify an input ...
... regions . Then the number of 1's in each region is counted and recorded in the vector position corresponding to that region . N must be large enough that all the patterns are represented as different vectors . To classify an input ...
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... regions of the input matrix . Now if we know the prior probabilities of the occurrence of each letter and the probability that each letter would appear as a particular value of the vector , then we can look at a given input vector and ...
... regions of the input matrix . Now if we know the prior probabilities of the occurrence of each letter and the probability that each letter would appear as a particular value of the vector , then we can look at a given input vector and ...
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... region - of must - be must - be parallelogram must - be Figure 7-12 : A Frame Representing One View of a Cube An example of a simple frame described in [ Minsky , 1975 ] is shown in Figure 7-12 . It represents one view of a cube , as ...
... region - of must - be must - be parallelogram must - be Figure 7-12 : A Frame Representing One View of a Cube An example of a simple frame described in [ Minsky , 1975 ] is shown in Figure 7-12 . It represents one view of a cube , as ...
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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