Titlebook: Abstraction, Reformulation, and Approximation; 5th International Sy Sven Koenig,Robert C. Holte Conference proceedings 2002 Springer-Verlag

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Abstraction, Reformulation, and Approximation978-3-540-45622-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

dissent

George Thomas,Tresa V. Fernandezch. They work well with depth-bounded search algorithms such as Gradual Abstract Proof Search that select moves based on the distance to the goal. We analyze the benefits of these admissible heuristics on moves for rules generation and search. We give experimental results that support our claim for the game of AtariGo.

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Africa-Asia: Literary Relationalitiescorrectness of certain types of computer programs. The method is used commercially in the development of programs implemented as integrated circuits, and is applicable to the development of “control-intensive” software programs as well. “Divide-and-conquer” techniques central to this method apply to

神圣将军

https://doi.org/10.1007/978-981-97-0696-9ing a planning problem. This paper considers various ways in which reformulation has been exploited in planning. In particular, it considers reformulation of planning problems to exploit structure within them by allowing deployment of specialised sub-solvers, capable of tackling sub-problems with gr

convulsion

Drivers for Changes in the Coastal Zone,nd spatial and genomic maps. In this paper, I describe two hierarchical abstraction mechanisms for simplifying the (estimation) learning and (control) optimization of complex Markov processes: . decomposition and . aggregation. I present several approaches to combining spatial and temporal abstracti

欲望

https://doi.org/10.1007/978-1-4020-3625-5 enormous..State space relaxation, introduced by Christofides, Mingozzi and Toth [.] is a general relaxation method whereby the state-space graph of a given dynamic programming recursion is relaxed in such a way that the solution of the associated recursion in the relaxed state-space provides a lowe

Erythropoietin

George Thomas,Tresa V. Fernandezch. They work well with depth-bounded search algorithms such as Gradual Abstract Proof Search that select moves based on the distance to the goal. We analyze the benefits of these admissible heuristics on moves for rules generation and search. We give experimental results that support our claim for

鬼魂

Michael J. V. White,Andrew Grievet representation of the solution space. We have previously established that, in spite of the effort of recomputing the bundles, dynamic bundling is never less effective than static bundling and non-bundling search strategies. Objections were raised that bundling mechanisms (whether static or dynamic