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Download Agents in Principle, Agents in Practice: 14th International by Milind Tambe (auth.), David Kinny, Jane Yung-jen Hsu, Guido PDF

By Milind Tambe (auth.), David Kinny, Jane Yung-jen Hsu, Guido Governatori, Aditya K. Ghose (eds.)

This ebook constitutes the complaints of the 14th overseas convention on ideas and perform in Multi-Agent structures, PRIMA 2011, held in Wollongong, Australia, in November 2011.
The 39 papers awarded including three invited talks have been rigorously reviewed and chosen from quite a few submissions. They concentrate on functional facets of multiagent structures and are organised in topical sections on coalitions and teamwork, studying, mechanisms and balloting, modeling and simulation, negotiation and coalitions, optimization, sustainability, agent societies and frameworks, argumentation, and applications.

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Extra resources for Agents in Principle, Agents in Practice: 14th International Conference, PRIMA 2011, Wollongong, Australia, November 16-18, 2011. Proceedings

Example text

Thus, using α(ei (u)) = δmax (ei (u)) for each junction entry point u, the Clear algorithm gives an optimal pursuit strategy for clearing an environment with topology tree T , for a given exploration model. 5 Conclusion The problem of obtaining a concise characterization of a physical environment in the context of frontier-based non-recontaminating exploration was considered. We introduced the medial axis as a configuration space and showed that reasoning about points in this configuration space is equivalent to reasoning about robots in physical space.

In this paper we study the relationship between an environment Q, the sensor radius r, and the number of robots n required for non-recontaminating exploration of Q. Intuition tells us that corridor width and junctions are important features. We formalize the notion of corridors and junctions and present a general method for computing a configuration space representation of the environment that captures this intuition. We show that this representation provides a concise description of arbitrary environments.

Eγ(u) } connecting u to its associated set of junction exit nodes {v1 , v2 , . . , vγ(u) }. For each junction, we define a traversal function δ : Eu → N, where i δ(ei ) is the number of robots required to traverse the junction. This corresponds to the minimum number of robots required to form a split frontier at the junction, given by its ceiling length Fs . Since we do not have tight bounds on the length of the split frontier, the traversal function depends on the the context of the analysis.

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