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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A.I. programs algorithm answer applied approach appropriate arcs ARMEMPTY Artificial Intelligence backtracking best-first search blocks world branching factor breadth-first search Caesar Chapter chess clauses CLEAR(A complete concept conceptual dependency consider constraints contains database described discussed domain example exploit explore fact frame game tree goal grammar graph heuristic heuristic function important input INTERLISP ISA links John knowledge representation labelings LISP Marcus match methods minimax move MYCIN natural language necessary node objects ON(B operators parsing particular path performed possible preconditions predicate logic probabilistic problem problem-solving produce production system PROLOG propositional logic question reasoning representing knowledge rules Schank script search procedure search process Section semantic net sentence shown in Figure simple situation slots solution solve specific stack statements step strategy structure successors Suppose syntactic task techniques theorem things tion tree true understanding variety