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 181
... become IN , all of the reasoning that was required to create all the other nodes based on it will not have to be repeated . As soon as the original node again becomes IN , a justification ( based on it ) of each of the others will become ...
... become IN , all of the reasoning that was required to create all the other nodes based on it will not have to be repeated . As soon as the original node again becomes IN , a justification ( based on it ) of each of the others will become ...
Página 183
... becomes OUT , as described above , node 5 2Actually it only selects nodes that are in some sense " maximal " but that is not important in this example . would also become OUT . That would cause node 2 SEC . 6.2 NONMONOTONIC REASONING 183.
... becomes OUT , as described above , node 5 2Actually it only selects nodes that are in some sense " maximal " but that is not important in this example . would also become OUT . That would cause node 2 SEC . 6.2 NONMONOTONIC REASONING 183.
Página 304
... becomes unmanageable . In addition , each new entry into the lex- icon may require that a new marker be added to each of the existing entries . The breakdown of the semantic marker approach when the number of words and word senses becomes ...
... becomes unmanageable . In addition , each new entry into the lex- icon may require that a new marker be added to each of the existing entries . The breakdown of the semantic marker approach when the number of words and word senses becomes ...
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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