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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... Figure 10-1 . At this point , lines have been extracted from the original figure and the next task is to separate the figure into objects . But suppose we start at the left and identify the object labeled A. Does it end at the vertical ...
... Figure 10-1 . At this point , lines have been extracted from the original figure and the next task is to separate the figure into objects . But suppose we start at the left and identify the object labeled A. Does it end at the vertical ...
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Elaine Rich. As an example , consider the simple drawing shown in Figure 10-15 ( a ) . We can begin by labeling all the boundary edges , as shown in Figure 10-15 ( b ) . Suppose we then begin labeling vertices at vertex 1. The only ...
Elaine Rich. As an example , consider the simple drawing shown in Figure 10-15 ( a ) . We can begin by labeling all the boundary edges , as shown in Figure 10-15 ( b ) . Suppose we then begin labeling vertices at vertex 1. The only ...
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... Figure 9-22 . ) Winston , P. , " Learning Structural Descriptions from Examples , " Fig . 5.16 , in The Psychology of Computer Vision , P. Winston ( ed . ) , McGraw - Hill , 1975. ( Appears as Figure 10-1 . ) Waltz , D ...
... Figure 9-22 . ) Winston , P. , " Learning Structural Descriptions from Examples , " Fig . 5.16 , in The Psychology of Computer Vision , P. Winston ( ed . ) , McGraw - Hill , 1975. ( Appears as Figure 10-1 . ) Waltz , D ...
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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