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 356
... labeled . New constraints will arise from this labeling and these constraints can be propagated back to vertices that have already been labeled , so that the set of possible labelings for them is further reduced . This process proceeds ...
... labeled . New constraints will arise from this labeling and these constraints can be propagated back to vertices that have already been labeled , so that the set of possible labelings for them is further reduced . This process proceeds ...
Página 357
... labeling a vertex next to one that has already been labeled , maximum use can be made of the con- straints . 3. Visit each vertex V in order and attempt to label it by doing the following : 1. Using the set of possible vertex labelings ...
... labeling a vertex next to one that has already been labeled , maximum use can be made of the con- straints . 3. Visit each vertex V in order and attempt to label it by doing the following : 1. Using the set of possible vertex labelings ...
Página 359
... labeled . Complete this analysis for vertices of objects that occupy two through seven octants . 5. For each of the drawings in Figure 10-7 , show how the Waltz algorithm would produce a labeling . 6. In our description of the Waltz ...
... labeled . Complete this analysis for vertices of objects that occupy two through seven octants . 5. For each of the drawings in Figure 10-7 , show how the Waltz algorithm would produce a labeling . 6. In our description of the Waltz ...
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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