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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... evidence . The intermediate conclusions that we form this way can then be used to form a variety of later ... evidence of an organism with properties X1 and Yı then there is some evidence that there is an infection caused by organism Z ...
... evidence . The intermediate conclusions that we form this way can then be used to form a variety of later ... evidence of an organism with properties X1 and Yı then there is some evidence that there is an infection caused by organism Z ...
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... evidence we are using in support of a hypothesis . This could easily happen in situations where the evidence is the outcome of an experiment or a laboratory test whose results are not completely accurate . In such a case , the certainty ...
... evidence we are using in support of a hypothesis . This could easily happen in situations where the evidence is the outcome of an experiment or a laboratory test whose results are not completely accurate . In such a case , the certainty ...
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... evidence section . It is a typi- cal MYCIN rule . Since we have a formula for computing the CF of a hypothesis from a set of independent CF's given by individual pieces of evidence , why should the database of rules contain so many of ...
... evidence section . It is a typi- cal MYCIN rule . Since we have a formula for computing the CF of a hypothesis from a set of independent CF's given by individual pieces of evidence , why should the database of rules contain so many of ...
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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