Modular utility representation for decision-theoretic planning
Proceedings of the first international conference on Artificial intelligence planning systems
Negotiating over small bundles of resources
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
How equitable is rational negotiation?
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
An Agent-Based Mechanism for Autonomous Multiple Criteria Auctions
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Selfish Routing with Incomplete Information
Theory of Computing Systems
Negotiating socially optimal allocations of resources
Journal of Artificial Intelligence Research
Reaching envy-free states in distributed negotiation settings
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Efficiency and envy-freeness in fair division of indivisible goods
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Integrated Computer-Aided Engineering
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The multi-agent resource allocation problem is the negotiation of m resources among the n agents of a population, in order to maximize a social welfare function. Contrary to some former studies, the purpose is here neither to simply determine a socially optimal resource allocation nor to prove the existence of a transaction sequence leading to this optimum. The objective is to define the individual behavior of the agents which leads to an optimal resource allocation as an emergent phenomenon, based on any kind of contact network and on any utility value. With this intention, we study various agent behaviors in order to identify which one leads to an optimal resource allocation. After a study of different transaction types, we show that, among the set of studied transactions, the so called "social gift" transaction, is the most efficient one for solving the utilitarian resource allocation problem.