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 275
... shows the plan after this ordering constraint is imposed . A second critic , Eliminate Redundant Preconditions , can now be invoked to eliminate the redundant specification of subgoals . Notice in graph D that the goal CLEAR ( B ) ...
... shows the plan after this ordering constraint is imposed . A second critic , Eliminate Redundant Preconditions , can now be invoked to eliminate the redundant specification of subgoals . Notice in graph D that the goal CLEAR ( B ) ...
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... shows a spectrogram produced by the beginning of the utterance " Alpha gets alpha minus beta . " A spectogram shows how the sound energy is distributed over the auditory frequency range as a func- tion of time . In this example , you ...
... shows a spectrogram produced by the beginning of the utterance " Alpha gets alpha minus beta . " A spectogram shows how the sound energy is distributed over the auditory frequency range as a func- tion of time . In this example , you ...
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... shows examples of trihedral figures . Figure 10-8 shows examples of nontrihedral figures . Determining the Constraints The problem we are trying to solve is to recognize individual objects in a figure . To do that , we intend first to ...
... shows examples of trihedral figures . Figure 10-8 shows examples of nontrihedral figures . Determining the Constraints The problem we are trying to solve is to recognize individual objects in a figure . To do that , we intend first to ...
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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