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
... match first . Sometimes a great many values satisfy each predicate but very few satisfy both . This example also ... Matching A more complex matching process SEC . 3.4 MATCHING 67.
... match first . Sometimes a great many values satisfy each predicate but very few satisfy both . This example also ... Matching A more complex matching process SEC . 3.4 MATCHING 67.
Página 70
... match , then the addition of such special - purpose rules will increase the size of the search rather than decrease it . In order to prevent that , we build the matcher so that it rejects rules that are more general than other rules ...
... match , then the addition of such special - purpose rules will increase the size of the search rather than decrease it . In order to prevent that , we build the matcher so that it rejects rules that are more general than other rules ...
Página 155
... matching rules are simple . Different constants , functions , or predicates cannot match ; identical ones can . A variable can match another variable , any constant , or a function or predicate expression , with the restriction that the ...
... matching rules are simple . Different constants , functions , or predicates cannot match ; identical ones can . A variable can match another variable , any constant , or a function or predicate expression , with the restriction that the ...
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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