Coherent cooperation among communicating problem solvers
IEEE Transactions on Computers
Increasing coherence in a distributed problem-solving network
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 2
Iterative software engineering for multiagent systems: the MASSIVE method
Iterative software engineering for multiagent systems: the MASSIVE method
A review of the applications of agent technology in traffic and transportation systems
IEEE Transactions on Intelligent Transportation Systems
A hierarchical protocol for coordinating multiagent behaviors
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
Using joint responsibility to coordinate collaborative problem solving in dynamic environments
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
What your computer really needs to know, you learned in kindergarten
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Models of consensus for multiple agent systems
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
An agent-based approach to immune modelling
ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I
Averting the tragedy of the commons by adapting aspiration levels
PRIMA'10 Proceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems
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Distributed Artificial Intelligence is concerned with problem solving in which groups solve tasks. In this paper we describe strategies of cooperation that groups require to solve shared tasks effectively. We discuss such strategies in the context of a specific group problem solving application: collision avoidance in air traffic control. Experimental findings with four distinct air-traffic control systems, each implementing a different cooperative strategy, are mentioned.