Agents and Data Mining Interaction: 8th International by Victor Lesser (auth.), Longbing Cao, Yifeng Zeng, Andreas L.

By Victor Lesser (auth.), Longbing Cao, Yifeng Zeng, Andreas L. Symeonidis, Vladimir I. Gorodetsky, Philip S. Yu, Munindar P Singh (eds.)

This e-book constitutes the completely refereed post-workshop lawsuits of the eighth foreign Workshop on brokers and information Mining interplay, ADMI 2012, held in Valencia, Spain, in June 2012. The sixteen revised complete papers have been conscientiously reviewed and chosen from a number of submissions. The papers are geared up in topical sections on brokers for facts mining, facts mining for brokers, and agent mining applications.

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Extra info for Agents and Data Mining Interaction: 8th International Workshop, ADMI 2012, Valencia, Spain, June 4-5, 2012, Revised Selected Papers

Example text

Moreover, agents can change their roles dynamically. A group is a set of agents and its structure is defined by means of roles and protocols allowed in the group. The role-based solutions may be independent of a particular situation in a system. This allows designing an overall organization of multi-agent systems, represented by roles and their interactions, separately from the algorithmic issues of agents, and to reuse the solutions from different application contexts. The coordination of agents is based on local conditions, namely the positions of an agent playing the role, thus even a large MAS can be built out of simple organizational structures in a modular way.

Agents present in the MAS register themselves in the OA, state changes of their roles, create and destroy groups and their membership in them, and establish communication channels. The OA infers the necessary facts by means of OWA reasoning. 1. – Verification of correctness of MAS. The OA controls all changes of the system and does not allow activities which would violate the integrity constraints. The integrity constraints are handled by OA in CWA mode, as discussed in section 3. – Matchmaking of agents and groups.

The value to peer i of a contribution from peer j to peer i. The fraction of the total pieces that peer i can provide to peer j. The probability of peer i receiving a contribution from j, having made a bandwidth contribution of bi j while it has αi j to provide to j. determines the choice. We denote by P(αi j , bi j ) the probability of a peer i receiving a contribution from j to which it has made a bandwidth contribution of bi j while it has an αi j fraction of the pieces to provide. We refer to this probability as the probability of reciprocation.

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