Evolution of Coordination as a Metaphor for Learning in Multi-Agent Systems
ECAI '96 Selected papers from the Workshop on Distributed Artificial Intelligence Meets Machine Learning, Learning in Multi-Agent Environments
Solving Distributed Constraint Optimization Problems Using Cooperative Mediation
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
A Distributed Approach for Coordination of Traffic Signal Agents
Autonomous Agents and Multi-Agent Systems
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
An iterative approach to enhanced traffic signal optimization
Expert Systems with Applications: An International Journal
Evaluating the performance of DCOP algorithms in a real world, dynamic problem
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Opportunities for multiagent systems and multiagent reinforcement learning in traffic control
Autonomous Agents and Multi-Agent Systems
Learning in groups of traffic signals
Engineering Applications of Artificial Intelligence
To adapt or not to adapt: consequences of adapting driver and traffic light agents
ALAMAS'05/ALAMAS'06/ALAMAS'07 Proceedings of the 5th , 6th and 7th European conference on Adaptive and learning agents and multi-agent systems: adaptation and multi-agent learning
Real-time trip information service for a large taxi fleet
MobiSys '11 Proceedings of the 9th international conference on Mobile systems, applications, and services
Collaborative Agents for Modeling Traffic Regulation Systems
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
The power of ants in solving Distributed Constraint Satisfaction Problems
Applied Soft Computing
Traffic lights control with adaptive group formation based on swarm intelligence
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
Taxation search in boolean games
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
iCO2: multi-user eco-driving training environment based on distributed constraint optimization
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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Several approaches tackle the problem of reducing traffic jams. A class of these approaches deals with coordination of traffic lights in order to allow vehicles traveling in a given direction to pass an arterial without stopping at junctions. In short, classical approaches, which are mostly based on offline and centralized determination of the prioritized direction, are quite inflexible since they cannot cope with dynamic changes in the traffic volume. More flexible approaches have been proposed based on implicit coordination and implicit communication (e.g. derived from game theory and swarm intelligence). These have advantages as well as shortcomings. The present paper presents an approach based on cooperative mediation which is a compromise between totally autonomous coordination with implicit communication and the classical centralized solution. We use a distributed constraint optimization algorithm in a dynamic scenario, showing that the mediation is able to reduce the frequency of miscoordination.