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 11
... input patterns as one of the letters of the alphabet . First we need to decide how the input will be represented . Since we are working with a digital computer , we will need to digitize the analog signal produced by the pen . The size ...
... input patterns as one of the letters of the alphabet . First we need to decide how the input will be represented . Since we are working with a digital computer , we will need to digitize the analog signal produced by the pen . The size ...
Página 13
... input . Comments This algorithm will work fine for a fixed set of patterns that are exactly matched by the input . But in the unideal world in which we live it will have the follow- ing problems : • Input letters must match the stored ...
... input . Comments This algorithm will work fine for a fixed set of patterns that are exactly matched by the input . But in the unideal world in which we live it will have the follow- ing problems : • Input letters must match the stored ...
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... input sentences against simple templates of keywords . The major advantage of this technique is that it allows sentences whose grammar is unusual , or even sen- tences that are ungrammatical , to be recognized . The familiar words will ...
... input sentences against simple templates of keywords . The major advantage of this technique is that it allows sentences whose grammar is unusual , or even sen- tences that are ungrammatical , to be recognized . The familiar words will ...
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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