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Titlebook: Abstraction, Reformulation, and Approximation; 4th International Sy Berthe Y. Choueiry,Toby Walsh Conference proceedings 2000 Springer-Verl

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樓主: tricuspid-valve
51#
發(fā)表于 2025-3-30 09:50:21 | 只看該作者
https://doi.org/10.1007/978-981-15-5550-3ting them as the evaluation problem of solvable or approximately solvable classes of constraint logic problems. The paper also presents rewrite rules to simplify constraint automata and illustrates the techniques on several example control systems.
52#
發(fā)表于 2025-3-30 15:03:52 | 只看該作者
https://doi.org/10.1057/9781137031730ealworld object. Viewpoint and classification are two major abstractions in the design process that also generate multiple representations. This paper investigates the generic issues and solutions to achieve flexible support of multiple representation in a GIS database.
53#
發(fā)表于 2025-3-30 19:58:23 | 只看該作者
https://doi.org/10.1057/9781137031730 “optimal” reformulation. We also suggest how this solution for unary databases might be extended to the general case, i.e., to that of reformulating databases with stored relations of arbitrary arity.
54#
發(fā)表于 2025-3-30 21:51:28 | 只看該作者
AAGC and Economic Prosperity in Indo-Pacificms and encodings of 2-SAT problems. Our results provide insight into the relationship between propositional satisfiability and constraint satisfaction, as well as some of the potential benefits of reformulating problems as constraint satisfaction problems.
55#
發(fā)表于 2025-3-31 03:20:26 | 只看該作者
56#
發(fā)表于 2025-3-31 08:18:18 | 只看該作者
57#
發(fā)表于 2025-3-31 09:25:22 | 只看該作者
Conference proceedings 2000eld at Horseshoe Bay Resort and Conference Club, Lake LBJ, Texas, July 26– 29, 2000, just prior to the AAAI 2000 conference in Austin. Previous SARA conferences took place at Jackson Hole in Wyoming (1994), Ville d’Est′erel in Qu′ebec (1995), and Asilomar in California (1998). The symposium grewout
58#
發(fā)表于 2025-3-31 15:53:30 | 只看該作者
59#
發(fā)表于 2025-3-31 18:07:33 | 只看該作者
https://doi.org/10.1057/9781137031730umerical reward functions rather than the more traditional deterministic operators and logical goal predicates. In many ways, reinforcement learning research is recapitulating the development of classical research in planning and problem solving. After studying the problem of solving “flat” problem
60#
發(fā)表于 2025-3-31 22:38:03 | 只看該作者
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