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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... Grammar Notice that this grammar , rather than containing syntactic nonterminal categories such as NP and VP , uses semantic categories such as SHIP and LOC . A semantic grammar can be used by a parsing system in exactly the ways in ...
... Grammar Notice that this grammar , rather than containing syntactic nonterminal categories such as NP and VP , uses semantic categories such as SHIP and LOC . A semantic grammar can be used by a parsing system in exactly the ways in ...
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... grammar systems . Un- like traditional parsing algorithms in which the output structure always mirrors the structure of the grammar rules that created it , ATNs allow output structures of arbitrary form . For an example of their use ...
... grammar systems . Un- like traditional parsing algorithms in which the output structure always mirrors the structure of the grammar rules that created it , ATNs allow output structures of arbitrary form . For an example of their use ...
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... grammar that recognizes verb phrases involving auxiliary verbs . The grammar should handle such phrases as ⚫ went ⚫ should have gone ⚫ had been going ⚫ would have been going ⚫ would go Do not expect to produce an ATN that can ...
... grammar that recognizes verb phrases involving auxiliary verbs . The grammar should handle such phrases as ⚫ went ⚫ should have gone ⚫ had been going ⚫ would have been going ⚫ would go Do not expect to produce an ATN that can ...
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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