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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... sentence reflects the productions that were applied to generate it . Top - Down versus Bottom - Up Parsing To parse a sentence , it is necessary to find a way in which that sentence could have been generated from the start symbol ...
... sentence reflects the productions that were applied to generate it . Top - Down versus Bottom - Up Parsing To parse a sentence , it is necessary to find a way in which that sentence could have been generated from the start symbol ...
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... sentence . In this example , if the auxiliary verb interpretation of have were chosen first and the end of the sentence appeared with no main verb having been seen , the under- stander would detect failure and backtrack to try some ...
... sentence . In this example , if the auxiliary verb interpretation of have were chosen first and the end of the sentence appeared with no main verb having been seen , the under- stander would detect failure and backtrack to try some ...
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... sentence has been located , it can be used to predict the noun phrases that will occur and to determine what the relationship of those phrases to the rest of the sentence is . ATNS provide a good structure for parsers for case grammar ...
... sentence has been located , it can be used to predict the noun phrases that will occur and to determine what the relationship of those phrases to the rest of the sentence is . ATNS provide a good structure for parsers for case grammar ...
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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