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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... example , if asked the question " How much is 12,324 times 73,981 ? " , it could wait several minutes and then respond with the wrong answer . The more serious issue , though , is the amount of knowledge that a machine would have to ...
... example , if asked the question " How much is 12,324 times 73,981 ? " , it could wait several minutes and then respond with the wrong answer . The more serious issue , though , is the amount of knowledge that a machine would have to ...
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... example , if the auxiliary verb inter- pretation of have in the previous example is built , it will be discarded if no par- ticiple , such as taken , ever appears . The major disadvantage of this approach is that , because it results in ...
... example , if the auxiliary verb inter- pretation of have in the previous example is built , it will be discarded if no par- ticiple , such as taken , ever appears . The major disadvantage of this approach is that , because it results in ...
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... Example 2 - Compute the Discriminant of a Quadratic Equation discrim ( A , B , C , D ) : - mult ( B , B , Bsquared ) , mult ( A , C , P1 ) , mult ( 4 , P1 , P2 ) , add ( Bsquared , D , P2 ) . This example illustrates the way that the ...
... Example 2 - Compute the Discriminant of a Quadratic Equation discrim ( A , B , C , D ) : - mult ( B , B , Bsquared ) , mult ( A , C , P1 ) , mult ( 4 , P1 , P2 ) , add ( Bsquared , D , P2 ) . This example illustrates the way that the ...
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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