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 42
... necessary for its solution . Ignorable problems can be solved using a simple control structure that never backtracks . Such a control structure is easy to implement . Recoverable problems can be solved by a slightly more complicated ...
... necessary for its solution . Ignorable problems can be solved using a simple control structure that never backtracks . Such a control structure is easy to implement . Recoverable problems can be solved by a slightly more complicated ...
Página 276
... necessary to make some decisions about the values to be substituted for the variables that have been introduced . At that point , it is necessary to consider all existing constraints that involve the variable being considered . To do ...
... necessary to make some decisions about the values to be substituted for the variables that have been introduced . At that point , it is necessary to consider all existing constraints that involve the variable being considered . To do ...
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... necessary already to know a great deal about the subject being discussed . Thus we saw that language- understanding systems rely heavily on the knowledge representation techniques we had already studied . In fact , most of the ...
... necessary already to know a great deal about the subject being discussed . Thus we saw that language- understanding systems rely heavily on the knowledge representation techniques we had already studied . In fact , most of the ...
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A.I. programs algorithm answer applied approach appropriate arcs ARMEMPTY Artificial Intelligence backtracking best-first search branching factor breadth-first search Chapter chess clauses CLEAR(A complete Computer concept conceptual dependency consider constraints contains database described discussed domain example expert systems exploit explore fact frame game tree goal grammar graph heuristic heuristic function important input INTERLISP ISA links John knowledge representation labelings learning LISP machine Marcus match methods minimax move MYCIN natural language 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 variety