Title: Risk management for multi-agent resource allocation under incomplete information

Authors: Habiba Belleili-Souici; Ali-Abdelatif Betouil

Addresses: LabGed Laboratory, Department of Computer Sciences, Badji Mokhtar University, P.O. Box 12, Annaba, Algeria ' LabGed Laboratory, Department of Computer Sciences, Badji Mokhtar University, P.O. Box 12, Annaba, Algeria

Abstract: This paper tackles a distributed resource allocation among selfish agents for the redistribution of indivisible resources without side payment. Particularly, agents do not share their preferences and have to reach an allocation with good quality measured in term of social welfare. We use as quality indicator the Nash product which is an important welfare criterion that combines efficiency and fairness. We propose agents' mechanisms that embody risk management and acceptability criteria of deals together with an implicit concession to bring agents to an agreement.

Keywords: multi-agent systems; MAS; agent-based systems; resource allocation; negotiation; social welfare; Nash equilibrium; risk management; acceptability; incomplete information.

DOI: 10.1504/IJSCC.2013.058181

International Journal of Systems, Control and Communications, 2013 Vol.5 No.3/4, pp.285 - 301

Published online: 09 Dec 2013 *

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