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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... important from an implementation standpoint because they can be implemented without the ability to backtrack to previous states when it is discovered that an incorrect path was followed . Although it is often useful to implement such ...
... important from an implementation standpoint because they can be implemented without the ability to backtrack to previous states when it is discovered that an incorrect path was followed . Although it is often useful to implement such ...
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... importance . The important resources to consider are time and space . Executing the task will probably generate additional tasks ( successor nodes ) . For each of them , do the following : 1. See if it is already on the agenda . If so ...
... importance . The important resources to consider are time and space . Executing the task will probably generate additional tasks ( successor nodes ) . For each of them , do the following : 1. See if it is already on the agenda . If so ...
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... important for building many kinds of complex systems . including A.I. ones ⚫ Features that are particularly important in building A.I. systems because of the special characteristics of such systems Let us first consider important ...
... important for building many kinds of complex systems . including A.I. ones ⚫ Features that are particularly important in building A.I. systems because of the special characteristics of such systems Let us first consider important ...
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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