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 95
... constraints , the other of which operates in the original problem space but the rule patterns and the heuris- tic function make reference to the current position in the constraint space . Another way of viewing constraint satisfaction ...
... constraints , the other of which operates in the original problem space but the rule patterns and the heuris- tic function make reference to the current position in the constraint space . Another way of viewing constraint satisfaction ...
Página 98
... constraint generator has only a small number of choices available and the problem solver has many . This is usually true at early levels in constraint- satisfaction problems . That was done next in this example . The constraint gen ...
... constraint generator has only a small number of choices available and the problem solver has many . This is usually true at early levels in constraint- satisfaction problems . That was done next in this example . The constraint gen ...
Página 276
... constraint posting , we can handle this interaction easily . We set up the two independant goals ASSIGN ( PRESIDENT = x ) ASSIGN ( TREASURER - y ) Then we add to a global constraint list two requirements : COMPATIBLE ( x , y ) NOTEQUAL ...
... constraint posting , we can handle this interaction easily . We set up the two independant goals ASSIGN ( PRESIDENT = x ) ASSIGN ( TREASURER - y ) Then we add to a global constraint list two requirements : COMPATIBLE ( x , y ) NOTEQUAL ...
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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