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 188
... variety of conclusions . Combining all the facts algebraically to form a single conclu- sion , such as how likely a board position is to lead to a win , can be a very efficient thing to do if we are interested only in that single ...
... variety of conclusions . Combining all the facts algebraically to form a single conclu- sion , such as how likely a board position is to lead to a win , can be a very efficient thing to do if we are interested only in that single ...
Página 222
... variety of other uses besides their ability to encode quantification . Some of these will be discussed in Chapter 9 , since they arise in the process of natural language understanding . Semantic nets have been widely used to represent a ...
... variety of other uses besides their ability to encode quantification . Some of these will be discussed in Chapter 9 , since they arise in the process of natural language understanding . Semantic nets have been widely used to represent a ...
Página 284
... variety of opinions have been tacked on ( sort of like an annotated bibliography produced by a committee ) has proved to be useful in a variety of A.I. systems . In addition to the systems we have just discussed , there is , for example ...
... variety of opinions have been tacked on ( sort of like an annotated bibliography produced by a committee ) has proved to be useful in a variety of A.I. systems . In addition to the systems we have just discussed , there is , for example ...
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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