Developing multiagent systems: The Gaia methodology
ACM Transactions on Software Engineering and Methodology (TOSEM)
Self-maintained distributed tuples for field-based coordination in dynamic networks
Proceedings of the 2004 ACM symposium on Applied computing
Computers and Industrial Engineering
Knowledge Driven Architecture for Home Care
CEEMAS '07 Proceedings of the 5th international Central and Eastern European conference on Multi-Agent Systems and Applications V
Urban traffic control with co-fields
E4MAS'06 Proceedings of the 3rd international conference on Environments for multi-agent systems III
Design patterns for decentralised coordination in self-organising emergent systems
ESOA'06 Proceedings of the 4th international conference on Engineering self-organising systems
Motion coordination in the quake 3 arena environment: a field-based approach
E4MAS'04 Proceedings of the First international conference on Environments for Multi-Agent Systems
ESAW'05 Proceedings of the 6th international conference on Engineering Societies in the Agents World
Indirect interaction in environments for multi-agent systems
E4MAS'05 Proceedings of the 2nd international conference on Environments for Multi-Agent Systems
A survey of environments and mechanisms for human-human stigmergy
E4MAS'05 Proceedings of the 2nd international conference on Environments for Multi-Agent Systems
Self-organization and multiagent systems: I. Models of multiagent self-organization
Journal of Computer and Systems Sciences International
Self-organization and multiagent systems: II. Applications and the development technology
Journal of Computer and Systems Sciences International
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Coordinating the activities of distributed autonomous entities challenges traditional approaches to distributed coordination and calls for new paradigms and supporting middleware. This paper focuses on the problem of orchestrating the movements' of mobile autonomous agents in a large-scale distributed systems, and proposes an approach that takes inspiration from physics. Our idea is to have the movements of agents driven by force fields, generated by the agentsthemselves and propagated via some infrastructure. A globally coordinated and self-organized behavior in the agent's movements can then emerge due to the interrelated effects of agents following the shape of the fields and dynamic fields re-shaping. The approach is presented and its effectiveness described with regard to a concreted case study in the area of urban traffic coordination.