Distributed rational decision making
Multiagent systems
Towards a universal test suite for combinatorial auction algorithms
Proceedings of the 2nd ACM conference on Electronic commerce
Introduction to Multiagent Systems
Introduction to Multiagent Systems
On the Communication Complexity of Multilateral Trading: Extended Report
Autonomous Agents and Multi-Agent Systems
Combinatorial Auctions
The complexity of contract negotiation
Artificial Intelligence
Allocation of indivisible goods: a general model and some complexity results
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Negotiating socially optimal allocations of resources
Journal of Artificial Intelligence Research
Simulation of Negotiation Policies in Distributed Multiagent Resource Allocation
Engineering Societies in the Agents World VIII
A Multi-Agent Resource Negotiation for the Utilitarian Welfare
Engineering Societies in the Agents World IX
Reaching envy-free states in distributed negotiation settings
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
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Notions of fairness have recently received increased attention in the context of resource allocation problems, pushed by diverse applications where not only pure utilitarian efficiency is sought. In this paper, we study a framework where allocations of goods result from distributed negotiation conducted by autonomous agents implementing very simple deals. Assuming that these agents are strictly self-interested, we investigate how equitable the outcomes of such negotiation processes are. We first discuss a number of methodological issues raised by this study, pertaining in particular to the design of suitable payment functions as a means of distributing the social surplus generated by a deal amongst the participating agents. By running different experiments, we finally identify conditions favouring equitable outcomes.