A formal framework for connective stability of highly decentralized cooperative negotiations
Autonomous Agents and Multi-Agent Systems
NegoExplorer: A Region-Based Recursive Approach to Bilateral Multi-attribute Negotiation
PRIMA '09 Proceedings of the 12th International Conference on Principles of Practice in Multi-Agent Systems
Autonomous Agents and Multi-Agent Systems
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Cooperative negotiation is proved to be an effective paradigm to solve complex dynamic multi-objective problems in which each objective is associated to an agent. When the multi-objective problem is defined on several continuous variables, cooperative negotiation can be traced back to a sequential bargaining. However, the complexity of highly reconfigurable scenarios with a large number of agents does not allow the adoption of classical game theory techniques to design optimal bargaining models for cooperative negotiations. A way to tackle this complexity is based on the decentralization of the system, usually obtained by introducing a mediator that reduces the amount of information directly exchanged between the agents. In this paper we present and experimentally evaluate a decentralized bargaining model for cooperative negotiation on multiple continuous dependent issues able to produce approximate Pareto optimal outcomes.