Policies for Role Maintenance through Incentives: How to Keep Agents on Track

• Type: Article in International Conference Proceedings Book
• Date: 2013

Authors

Henrique Lopes Cardoso (Author) FEUP; Hermoso, R (Author) Other; Fasli, M (Author) Other

Conference proceedings International

Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Pages: 150-164

Agreement Technologies - Second International Conference, AT 2013, Beijing, China, August 1-2, 2013. Proceedings

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: P-008-CG8

DOI: 10.1007/978-3-642-39860-5_12

Abstract (EN): Roles are usually seen as a descriptive concept that agents adopt so showing expectation on its future interacting behaviour. These expectations, so called standards, may be used to articulate contracts among partners in environments dealing with uncertainty. However, few work has been done in the field of multi-agent systems addressing the evolving nature of roles, especially in open systems, in which changes in the population should bring about changes in the way expectations are assessed. In this paper, we put forward a mechanism to search for appropriate incentives aiming to keep agents fulfilling the expectations generated by the roles they play. Furthermore, we also present role evolution policies that allow the system to re-arrange role players when incentives are not effective. We present some empirical results supporting our approach. © 2013 Springer-Verlag.

Language: English

Type (Professor's evaluation): Scientific