Computationally Manageable Combinational Auctions
Management Science
On approximately fair allocations of indivisible goods
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
The complexity of contract negotiation
Artificial Intelligence
How equitable is rational negotiation?
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Negotiating socially optimal allocations of resources
Journal of Artificial Intelligence Research
Efficiency and envy-freeness in fair division of indivisible goods
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
A Short Introduction to Computational Social Choice
SOFSEM '07 Proceedings of the 33rd conference on Current Trends in Theory and Practice of Computer Science
A Multi-Agent Resource Negotiation for the Utilitarian Welfare
Engineering Societies in the Agents World IX
Finding Nash bargaining solutions for multi-issue negotiations: a preliminary result
HuCom '08 Proceedings of the 1st International Working Conference on Human Factors and Computational Models in Negotiation
Allocating goods on a graph to eliminate envy
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Journal of Artificial Intelligence Research
On Low-Envy Truthful Allocations
ADT '09 Proceedings of the 1st International Conference on Algorithmic Decision Theory
Multiagent resource allocation with sharable items: simple protocols and Nash equilibria
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
No agent left behind: dynamic fair division of multiple resources
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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Mechanisms for dividing a set of goods amongst a number of autonomous agents need to balance efficiency and fairness requirements. A common interpretation of fairness is envy-freeness, while efficiency is usually understood as yielding maximal overall utility. We show how to set up a distributed negotiation framework that will allow a group of agents to reach an allocation of goods that is both efficient and envy-free.