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 8
... winning move . It will be called first to see if we can win and how . If we can , we of course make that move . If we cannot win , we call posswin again to see if the opponent can win on the next move . If the opponent can win , we must ...
... winning move . It will be called first to see if we can win and how . If we can , we of course make that move . If we cannot win , we call posswin again to see if the opponent can win on the next move . If the opponent can win , we must ...
Página 10
... winning while the opponent will try to minimize that likelihood . It will be discussed in detail in Chapter 4 . Comments This program will require much more time than either 10 WHAT IS ARTIFICIAL INTELLIGENCE ? CHAP . 1.
... winning while the opponent will try to minimize that likelihood . It will be discussed in detail in Chapter 4 . Comments This program will require much more time than either 10 WHAT IS ARTIFICIAL INTELLIGENCE ? CHAP . 1.
Página 115
... wins were given an increased weight , while the weights of those that had led to losses were decreased . Unfortunately , deciding which moves have contributed to wins and which to losses is not always easy . Suppose we make a very bad ...
... wins were given an increased weight , while the weights of those that had led to losses were decreased . Unfortunately , deciding which moves have contributed to wins and which to losses is not always easy . Suppose we make a very bad ...
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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