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 63
... objects . We first dis- cover a way to describe each individual object's state and each fact that could be true about relationships among objects . We would want to say such things as ON ( plant , table ) , UNDER ( table , window ) ...
... objects . We first dis- cover a way to describe each individual object's state and each fact that could be true about relationships among objects . We would want to say such things as ON ( plant , table ) , UNDER ( table , window ) ...
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... objects can be decomposed into simpler ones . Many complex classes of objects can be decomposed into smaller ones . These decompositions yield two very common and useful properties of objects . Both of these properties are relationships ...
... objects can be decomposed into simpler ones . Many complex classes of objects can be decomposed into smaller ones . These decompositions yield two very common and useful properties of objects . Both of these properties are relationships ...
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... objects are problem states representing collections of current hypotheses about the input . In all three kinds of systems , individual processes can both create communication objects and add opinions to those created by other processes ...
... objects are problem states representing collections of current hypotheses about the input . In all three kinds of systems , individual processes can both create communication objects and add opinions to those created by other processes ...
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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