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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... First Search Both generate - and - test and hill climbing are depth - first search procedures . Such procedures are ... best . There are three major problems with breadth - first search : 1. It requires a lot of memory . The number of ...
... First Search Both generate - and - test and hill climbing are depth - first search procedures . Such procedures are ... best . There are three major problems with breadth - first search : 1. It requires a lot of memory . The number of ...
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Elaine Rich. 3.6.4 Best - First Search : OR Graphs Best - first search is a way of combining the advantages of both depth - first and breadth - first search into a single method . At each step of the best - first search process , we ...
Elaine Rich. 3.6.4 Best - First Search : OR Graphs Best - first search is a way of combining the advantages of both depth - first and breadth - first search into a single method . At each step of the best - first search process , we ...
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... search process . • Under what circumstances should a particular search path be abandoned . In our discussion of ... first search be better than a breadth - first one ? 5. When would best - first search be worse than simple breadth ...
... search process . • Under what circumstances should a particular search path be abandoned . In our discussion of ... first search be better than a breadth - first one ? 5. When would best - first search be worse than simple breadth ...
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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