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 186
... present then certain physical characteristics will be observed , then we can use Bayes ' formula to compute , from the evidence we collect , how likely it is that the various minerals are present . This is , in fact , what is done by ...
... present then certain physical characteristics will be observed , then we can use Bayes ' formula to compute , from the evidence we collect , how likely it is that the various minerals are present . This is , in fact , what is done by ...
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... present a specific method for combining rules that has many of the advantages of a straightforward probabilistic ... present then there is some evidence that our queen will be attacked . If configuration B is present then there is some ...
... present a specific method for combining rules that has many of the advantages of a straightforward probabilistic ... present then there is some evidence that our queen will be attacked . If configuration B is present then there is some ...
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... present then : ( 2 , 4 ) there is favorable mineralization and texture for the propylitic stage . Figure 8-12 : Some Rules from Expert Systems ference in the inference rules used in PROSPECTOR and in MYCIN ( i.e. , one using a strict ...
... present then : ( 2 , 4 ) there is favorable mineralization and texture for the propylitic stage . Figure 8-12 : Some Rules from Expert Systems ference in the inference rules used in PROSPECTOR and in MYCIN ( i.e. , one using a strict ...
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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