On optimal outcomes of negotiations over resources
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Negotiating socially optimal allocations of resources
Journal of Artificial Intelligence Research
Searching for fair joint gains in agent-based negotiation
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
A Multi-agent Resource Negotiation for Social Welfare
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Simple negotiation schemes for agents with simple preferences: sufficiency, necessity and maximality
Autonomous Agents and Multi-Agent Systems
AIS-ADM'07 Proceedings of the 2nd international conference on Autonomous intelligent systems: agents and data mining
Risk management for multi-agent resource allocation under incomplete information
International Journal of Systems, Control and Communications
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We study the problem of autonomous agents negotiating the allocation of multiple indivisible resources. It is difficult to reach optimal outcomes in bilateral or multi-lateral negotiations over multiple resources when the agents' preferences for the resources are not common knowledge. Self-interested agents often end up negotiating inefficient agreements in such situations. We present a protocol for negotiation over multiple indivisible resources which can be used by rational agents to reach efficient outcomes. Our proposed protocol enables the negotiating agents to identify efficient solutions using systematic distributed search that visits only a subspace of the whole solution space.