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 vii
... Nonmonotonic Reasoning 176 6.2.1 Introduction to Nonmonotonic Reasoning 176 6.2.2 TMS : A Nonmonotonic Reasoning System 180 6.3 Statistical and Probabilistic Reasoning 184 6.3.1 Techniques for Dealing with a Random World 185 6.3.2 ...
... Nonmonotonic Reasoning 176 6.2.1 Introduction to Nonmonotonic Reasoning 176 6.2.2 TMS : A Nonmonotonic Reasoning System 180 6.3 Statistical and Probabilistic Reasoning 184 6.3.1 Techniques for Dealing with a Random World 185 6.3.2 ...
Página 176
... Nonmonotonic Reasoning Rarely does a system have at its disposal all the information that would be use- ful . But often when such information is lacking , there are some ... Nonmonotonic Reasoning Introduction to Nonmonotonic Reasoning.
... Nonmonotonic Reasoning Rarely does a system have at its disposal all the information that would be use- ful . But often when such information is lacking , there are some ... Nonmonotonic Reasoning Introduction to Nonmonotonic Reasoning.
Página 180
... nonmonotonic reasoning.1 Nonmonotonic systems are harder to deal with than monotonic ones be- cause it is often necessary , when one statement is deleted from the knowledge base , to go back over other statements whose proofs depend on ...
... nonmonotonic reasoning.1 Nonmonotonic systems are harder to deal with than monotonic ones be- cause it is often necessary , when one statement is deleted from the knowledge base , to go back over other statements whose proofs depend on ...
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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