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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Página 115
... piece advantage was proposed by Turing for chess - simply add the values of black's pieces ( B ) , the values of white's pieces ( W ) , and then compute the quotient W / B . A more sophisticated approach was that taken in Samuel's check ...
... piece advantage was proposed by Turing for chess - simply add the values of black's pieces ( B ) , the values of white's pieces ( W ) , and then compute the quotient W / B . A more sophisticated approach was that taken in Samuel's check ...
Página 196
... pieces of evidence , why should the database of rules contain so many of these complex rules ? Why not use only simple rules for each of the elementary pieces of evidence and let the formula combine them ? The answer harks back to one ...
... pieces of evidence , why should the database of rules contain so many of these complex rules ? Why not use only simple rules for each of the elementary pieces of evidence and let the formula combine them ? The answer harks back to one ...
Página 247
... pieces and to solve those pieces separately , to the extent that that is possible . Then the separate pieces must be combined to form a single consistent solution to the original problem . In this chapter , we will discuss ways in which ...
... pieces and to solve those pieces separately , to the extent that that is possible . Then the separate pieces must be combined to form a single consistent solution to the original problem . In this chapter , we will discuss ways in which ...
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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