Abstraction, Reformulation and Approximation: 6th by Scot Anderson, Peter Revesz (auth.), Jean-Daniel Zucker,

By Scot Anderson, Peter Revesz (auth.), Jean-Daniel Zucker, Lorenza Saitta (eds.)

This ebook constitutes the refereed complaints of the sixth overseas Symposium on Abstraction, Reformulation, and Approximation, SARA 2005, held in Airth citadel, Scotland, united kingdom in July 2005.

The 17 revised complete papers and eight prolonged abstracts have been rigorously reviewed and chosen for inclusion within the ebook. additionally integrated are three invited papers and eight examine summaries. All present facets of abstraction, reformulation, and approximation within the context of human common sense reasoning, challenge fixing, and successfully reasoning in complicated domain names are addressed. one of the program fields of those thoughts are automated programming, constraint delight, layout, prognosis, computing device studying, seek, making plans, reasoning, online game taking part in, scheduling, and theorem proving.

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Additional info for Abstraction, Reformulation and Approximation: 6th International Symposium, SARA 2005, Airth Castle, Scotland, UK, July 26-29, 2005. Proceedings

Example text

E. l1 )). So an abstract operator has to be created in the blocks domain to reflect this value change to the fluent object-at. l2 ) of the navigation domain (it is for this reason it is qualified as abstract). l2)))) 34 A. Bouguerra and L. 2 Ordering Domains Consideration 1 imposes on the multi-domain plan synthesizer to find a total order on the set of domains D = {D1 , D2 , · · · , Dm }. A domain Di is ordered before another domain Dj (noted: Di ≺ Dj ) if at least one of the operators of Di uses in its preconditions a fluent from Dj : ∃fj ∈ Fj , ∃o ∈ Oi : fj appears in P re(o) ⇒ Di ≺ Dj .

Then, each resource is rounded up according to the abstraction step and identical states are grouped. The probability value for each abstract successor is assigned according to the linear probability model. 3 Heuristic Construction and Its Application to the LAO* Algorithm Once an abstract space is constructed, the next step is to perform a “blind” search of this abstract space. During this process, all reachable abstract states get expanded and assigned a value. These values are then used as heuristic estimates for the states in the original state space.

Nau, Y. Cao and H. Mu˜ noz-Avila. Shop: Simple hierarchical ordered planner. In Proceedings of the 16th International Joint Conference on Artificial Intelligence (IJCAI), pages 968–973, 1999. Synthesizing Plans for Multiple Domains 43 3. K. Erol, J. A. Hendler, and D. S. Nau. UMCP: A sound and complete procedure for hierarchical task-network planning. In Artificial Intelligence Planning Systems, pages 249–254, 1994. 4. E. Fink and Q. Yang. Automatically abstracting the effects of operators. In James Hendler, editor, Proceedings of the 1st International Conference on Artificial Intelligence Planning Systems (AIPS92), pages 243–251, College Park, Maryland, USA, 1992.

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