Get Abstraction, Reformulation and Approximation: 6th PDF

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

ISBN-10: 3540278729

ISBN-13: 9783540278726

This e-book constitutes the refereed lawsuits of the sixth overseas Symposium on Abstraction, Reformulation, and Approximation, SARA 2005, held in Airth fort, 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 booklet. additionally incorporated are three invited papers and eight examine summaries. All present facets of abstraction, reformulation, and approximation within the context of human commonsense reasoning, challenge fixing, and successfully reasoning in complicated domain names are addressed. one of the software fields of those suggestions are computerized programming, constraint pride, layout, prognosis, laptop studying, seek, making plans, reasoning, video game enjoying, scheduling, and theorem proving.

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

Example text

The use of abstraction to solve subgoals seems to be a natural way that humans use in their daily life when performing tasks implying different fields of knowledge. The assumption of a total order between domains limits the applicability of the proposed approach to domains with the kind of interactions discussed in section 2. e when there are cycles between the domains in terms of the relation ≺. We also envisage to integrate the presented framework with the plan executor implemented on board our mobile robots.

The combinatorial burden that would potentially ensue from state-perception associations can be ameliorated by suitable use of abstractions and empirical simulation results indicate that the method affords a good degree of scalability and predictive power. The paper formally analyses the predictive quality of two different abstractions, one for applications involving several agents and one for applications with large numbers of perceptions. Sufficient conditions for reasonable predictive quality are given.

The process stops once the agent either performs all tasks or runs out of at least one of the resources. The goal is to maximize the collected 20 N. Beliaeva and S. Zilberstein reward while performing a sequence of tasks. The structure of such problems allows creating an abstract space very easily by grouping states by resources. Each state is defined by the amount of resources left: Ri = {0, 1, 2, . . , Ni } , i = 1, . . , n and by values of the variables: Vi = {1, 2, . . , Mi } , i = 1, . .

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Abstraction, Reformulation and Approximation: 6th International Symposium, SARA 2005, Airth Castle, Scotland, UK, July 26-29, 2005. Proceedings by Scot Anderson, Peter Revesz (auth.), Jean-Daniel Zucker, Lorenza Saitta (eds.)


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