Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
Reaching agreements through argumentation: a logical model and implementation
Artificial Intelligence
Strategic negotiation in multiagent environments
Strategic negotiation in multiagent environments
Multi-issue negotiation under time constraints
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
A Service-Oriented Negotiation Model between Autonomous Agents
Proceedings of the 8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World: Multi-Agent Rationality
A learning-based coalition formation model for multiagent systems
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Learning when and how to coordinate
Web Intelligence and Agent Systems
Adaptive, Confidence-Based Multiagent Negotiation Strategy
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Coordinating Multiple Concurrent Negotiations
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Optimal Negotiation of Multiple Issues in Incomplete Information Settings
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Tractable negotiation in tree-structured domains
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Hybrid negotiation for resource coordination in multiagent systems
Web Intelligence and Agent Systems
Improving multi-agent coalition formation in complex environments
Improving multi-agent coalition formation in complex environments
A computational model of logic-based negotiation
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
An integrated multilevel learning approach to multiagent coalition formation
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Reflective negotiating agents for real-time multisensor target tracking
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
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We propose an adaptive 1-to-many negotiation strategy for multiagent coalition formation in complex environments that are dynamic, uncertain, and real-time. Our strategy deals with how to assign multiple issues to a set of concurrent negotiations based on an initiating agent's confidence in its profiling of its peer agents. When an agent is confident, it uses a packaged approach—conducting multiple multi-issue negotiations—with its peers. Otherwise, it uses a pipelined approach—conducting multiple single-issue negotiations—with its peers. The initiating agent is also capable of using both approaches in a hybrid, dealing with a mixed group of responding peers. An agent's confidence in its profile or view of another agent is crucial, and that depends on the environment in which the agents operate. To evaluate the proposed strategy, we use a coalition formation framework in a complex environment. Results show that the proposed strategy outperforms the purely pipelined strategy and the purely packaged strategy in both efficiency and effectiveness.