On the Communication Complexity of Multilateral Trading: Extended Report
Autonomous Agents and Multi-Agent Systems
Negotiating over small bundles of resources
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
The complexity of deciding reachability properties of distributed negotiation schemes
Theoretical Computer Science
Trajectories of goods in distributed allocation
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Extremal behaviour in multiagent contract negotiation
Journal of Artificial Intelligence Research
Multiagent resource allocation in the presence of externalities
CEEMAS'05 Proceedings of the 4th international Central and Eastern European conference on Multi-Agent Systems and Applications
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We study the complexity of a multilateral negotiation framework where autonomous agents agree on a sequence of deals to exchange sets of discrete resources in order to both further their own goals and to achieve a distribution of resources that is socially optimal. When analysing such a framework, we can distinguish different aspects of complexity: How many deals are required to reach an optimal allocation of resources? How many communicative exchanges are required to agree on one such deal? How complex a communication language do we require? And finally, how complex is the reasoning task faced by each agent? This paper presents a number of results pertaining, in particular, to the first of these questions.