Agent Computing and Multi-Agent Systems: 10th Pacific Rim by Ka-man Lam, Ho-Fung Leung (auth.), Aditya Ghose, Guido

By Ka-man Lam, Ho-Fung Leung (auth.), Aditya Ghose, Guido Governatori, Ramakoti Sadananda (eds.)

This e-book constitutes the completely refereed post-workshop complaints of the tenth Pacific Rim overseas Workshop on Multi-Agents, PRIMA 2007, held in Bankok, Thailand, in November 2007.

The 22 revised complete papers and sixteen revised brief papers provided including eleven software papers have been conscientiously reviewed and chosen from 102 submissions. starting from theoretical and methodological concerns to varied purposes in several fields, the papers handle many present topics in multi-agent learn and development,

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Additional resources for Agent Computing and Multi-Agent Systems: 10th Pacific Rim International Conference on Multi-Agents, PRIMA 2007, Bangkok, Thailand, November 21-23, 2007. Revised Papers

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The points located at the right of the intersection between the two surfaces belong to surface B. In the sketch c of Fig. 2, A is an “on lap surface” older than B. B stops on A. The points located at the right of the intersection between the two surfaces belong to surface A. Joint work operated at IFP1 and ENSMP2 [1] has demonstrated an automatic manner to construct a structural earth model by starting from raw geological surfaces (faults or horizons), and from their geological interpretations formalized in a Geological Evolution Schema (GES) [1], [9].

Each of these markers corresponds to the intersection of a given geological surface (horizon or fault) by a drilling trajectory. The sequence of the markers thus expresses in which order the various geological surfaces are met by the drilling trajectory. Therefore, the marker sequence can be used to check step by step the chronological-topological relations existing between the geological surfaces corresponding two neighboring markers. These relations should strictly be consistent with the geological characteristics of the geological surfaces.

JESP-TPE explores the combinations of actions, observations, and histories that the JESP-NE does not consider under the assumption that no agent makes a mistake. Therefore, JESP-TPE can examine policies with belief states that JESP-NE no longer examines (see Fig. 1). 5 of episodes 1 (SL(Reset)) and (SR(Reset)) on belief state B i , while JESP-NE calculates 0, as shown in Fig. 1, because agent j will probably choose OpenLeft or OpenRight, although the policy leads j to choose Listen. As a result, JESP-TPE Multiagent Planning with Trembling-Hand Perfect Equilibrium 21 Algorithm 4.

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