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 364
... stored value for A can be used . This creates the effect of having searched an additional several ply since the stored value for A was com- puted by backing up values from exactly such a search . Rote learning of this sort is very ...
... stored value for A can be used . This creates the effect of having searched an additional several ply since the stored value for A was com- puted by backing up values from exactly such a search . Rote learning of this sort is very ...
Página 365
... stored objects down to a manageable level , some kind of generalization is necessary . In Samuel's program , for example , the number of distinct objects that could be stored was equal to the number of different board positions that can ...
... stored objects down to a manageable level , some kind of generalization is necessary . In Samuel's program , for example , the number of distinct objects that could be stored was equal to the number of different board positions that can ...
Página 395
... stored . In standard LISP , such contexts are stored in a simple stack , and so co - routines are not pos- sible . The spaghetti stack is really a tree though , so several parallel con- texts can be stored at once and control can be ...
... stored . In standard LISP , such contexts are stored in a simple stack , and so co - routines are not pos- sible . The spaghetti stack is really a tree though , so several parallel con- texts can be stored at once and control can be ...
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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