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 2 Actually 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 2 Actually 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 248
... becomes too large to handle in the amount of time available . There are two ways in which it is important to be able to perform this decomposition . The first is that it is important that it be possible , when moving from one problem ...
... becomes too large to handle in the amount of time available . There are two ways in which it is important to be able to perform this decomposition . The first is that it is important that it be possible , when moving from one problem ...
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A.I. programs algorithm answer applied approach appropriate arcs ARMEMPTY backtracking best-first search blocks world branching factor breadth-first search Caesar Chapter chess clauses CLEAR(A complete concept conceptual dependency consider constraint contains database described discussed domain example expert systems exploit explore fact frame game tree given grammar graph heuristic function important input INTERLISP ISA links John knowledge representation labelings learning LISP Marcus match minimax move MTRANS MYCIN node objects ON(B operators parsing particular path performed possible preconditions predicate logic probabilistic problem problem-solving produce production systems PROLOG propositional logic question reasoning representing knowledge resolution rules satisfied script search procedure search process Section semantic net semantic nets sentence shown in Figure simple situation slots solution solve specific statements step strategy structure successors Suppose syntactic task techniques theorem things tion tree true understanding UNSTACK variable variety vertex