Using organization knowledge to improve routing performance in wireless multi-agent networks
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Decentralised dynamic task allocation: a practical game: theoretic approach
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Multi-Agent Collaboration: A Satellite Constellation Case
Proceedings of the 2008 conference on STAIRS 2008: Proceedings of the Fourth Starting AI Researchers' Symposium
An Incremental Adaptive Organization for a Satellite Constellation
Organized Adaption in Multi-Agent Systems
International Journal of Sensor Networks
Self-organization for coordinating decentralized reinforcement learning
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Coming together: composition by negotiation
Proceedings of the international conference on Multimedia
Coming together: negotiated content by multi-agents
Proceedings of the international conference on Multimedia
Benchmarking hybrid algorithms for distributed constraint optimisation games
Autonomous Agents and Multi-Agent Systems
Strategic agents for multi-resource negotiation
Autonomous Agents and Multi-Agent Systems
Agent-mediated multi-step optimization for resource allocation in distributed sensor networks
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Effective Variants of the Max-Sum Algorithm for Radar Coordination and Scheduling
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
The Knowledge Engineering Review
Using conflict resolution to inform decentralized learning
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Automated generation of interaction graphs for value-factored dec-POMDPs
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Multiagent meta-level control for radar coordination
Web Intelligence and Agent Systems
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Through automated negotiation we aim to improve task allocation in a distributed sensor network. In particular, we look at a type of adaptive weather-sensing radar that permits the radar to focus its scanning on certain regions of the atmosphere. Current control systems can only computationally handle the decision making for a small number of radars because of the complexity of the process. One solution is to partition the radars into smaller, independent sets. Redundant scanning of tasks and loss of cooperative scanning capabilities can occur as a result. With negotiation we can reduce these occurrences, helping to ensure that the correct radars scan tasks based on the overall social welfare. We develop a distributed negotiation model where on each cycle the overall system utility improves or remains constant. Experimental results show that as compared to the centralized task allocation mechanism, the proposed distributed task allocation mechanism achieves almost the same level of social welfare but with a significantly reduced computational load.