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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... shown in Figure 3-20 ( a ) . If the cost of G is revised as shown in Figure 3-20 ( b ) , and if it is not immediately propagated back to E , then the change will never be recorded and a nonoptimal solution through B may be discovered ...
... shown in Figure 3-20 ( a ) . If the cost of G is revised as shown in Figure 3-20 ( b ) , and if it is not immediately propagated back to E , then the change will never be recorded and a nonoptimal solution through B may be discovered ...
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... shown in Figure 7–3 . Furniture Person Isa Chair Ispart Seat Isa Isa Owner Color Me My - chair Tan Covering Isa Leather Brown Figure 7-3 : A Semantic Network It is useful to think about semantic nets using a graphical notation , as shown ...
... shown in Figure 7–3 . Furniture Person Isa Chair Ispart Seat Isa Isa Owner Color Me My - chair Tan Covering Isa Leather Brown Figure 7-3 : A Semantic Network It is useful to think about semantic nets using a graphical notation , as shown ...
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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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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