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 67
... satisfied , we must find a single substitu- tion for y such that it is true that SON ( John , y ) and SON ( y , z ) , for some value of z . To do this , we must first find a y that satisfies one of the predicates and then see if it also ...
... satisfied , we must find a single substitu- tion for y such that it is true that SON ( John , y ) and SON ( y , z ) , for some value of z . To do this , we must first find a y that satisfies one of the predicates and then see if it also ...
Página 261
... satisfied in the world model . It will be unless we undid one of its components in attempting to satisfy another . In this case , there is no problem and the combined goal can be popped from the stack . Now the top element of the stack ...
... satisfied in the world model . It will be unless we undid one of its components in attempting to satisfy another . In this case , there is no problem and the combined goal can be popped from the stack . Now the top element of the stack ...
Página 270
... satisfied goal is necessary here . ARMEMPTY appears as part of the goal set of node 5. But ARMEMPTY is satisfied in the initial state description . So why did we just look at a way to satisfy it again ? Why could we not just consider it ...
... satisfied goal is necessary here . ARMEMPTY appears as part of the goal set of node 5. But ARMEMPTY is satisfied in the initial state description . So why did we just look at a way to satisfy it again ? Why could we not just consider it ...
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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