Algorithm for optimal winner determination in combinatorial auctions
Artificial Intelligence
A decommitment strategy in a competitive multi-agent transportation setting
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Multi-agent reward analysis for learning in noisy domains
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
A visualization toolkit for transportation simulation systems
Proceedings of the 7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design
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Distributed logistics and transportation is an important and emerging area of application for multi-agent systems, which has recently attracted a lot of research interest. In previous research ([1], [2]) we have proposed and developed novel techniques to deal with some of the challenges and problems in this application domain. In this paper we describe the software system which was built to visualize and demonstrate our multi-agent model.