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 173
... belief systems be represented at once ? A good deal of the reasoning people do involves manipulating a set of beliefs . Each of these beliefs is supported by some evidence and may be rein- forced by some personal motivation to maintain the ...
... belief systems be represented at once ? A good deal of the reasoning people do involves manipulating a set of beliefs . Each of these beliefs is supported by some evidence and may be rein- forced by some personal motivation to maintain the ...
Página 174
... belief is thus thrust upon us : ( 4 ) That Cabot did not . Our beliefs ( 1 ) through ( 4 ) are inconsistent , so we must choose one for rejection . Which has the weakest evidence ? The basis for ( 1 ) in the hotel register is good ...
... belief is thus thrust upon us : ( 4 ) That Cabot did not . Our beliefs ( 1 ) through ( 4 ) are inconsistent , so we must choose one for rejection . Which has the weakest evidence ? The basis for ( 1 ) in the hotel register is good ...
Página 194
... belief about the hypothesis can be computed . This estimate is called the certainty factor ( CF ) and is given as CF [ h , e ] = MB [ h , e ] MD [ h , e ] Notice that if CF is positive , the system believes that the hypothesis is true ...
... belief about the hypothesis can be computed . This estimate is called the certainty factor ( CF ) and is given as CF [ h , e ] = MB [ h , e ] MD [ h , e ] Notice that if CF is positive , the system believes that the hypothesis is true ...
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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