Adaptive agents in a persistent shout double auction
Proceedings of the first international conference on Information and computation economies
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
Robust and Scalable Coordination of Potential-Field Driven Agents
CIMCA '06 Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce
If multi-agent learning is the answer, what is the question?
Artificial Intelligence
Fairness in multi-agent systems
The Knowledge Engineering Review
Artificial agents learning human fairness
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
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In our increasingly interconnected world, research in the area of multi-agent systems is becoming more and more important [1, 2]. Multi-agent systems are generally accepted as valuable tools for designing and building distributed dynamical systems, by using several interacting agents, possibly including humans. In practice, multi-agent systems are often performing tasks in co-operation with, or instead of humans. Examples include software agents participating in online auctions or bargaining [3, 4], electronic institutions [5], developing schedules for air traffic [6] and decentralized resource distribution in large storage facilities [7, 8].