Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
Industrial applications of distributed AI
Communications of the ACM
Communication and cooperation in agent systems: a pragmatic theory
Communication and cooperation in agent systems: a pragmatic theory
An overview of distributed artificial intelligence
Foundations of distributed artificial intelligence
Coordination of Distributed Problem Solvers
Coordination of Distributed Problem Solvers
Towards a Theory of Cooperative Problem Solving
MAAMAW '94 Proceedings of the 6th European Workshop on Modelling Autonomous Agents: Distributed Software Agents and Applications
Cooperation Structure of Multi-Agent and Algorithms
ICAIS '02 Proceedings of the 2002 IEEE International Conference on Artificial Intelligence Systems (ICAIS'02)
Multi agent modeling of self adaptive system for large scale complex systems
SCSC '09 Proceedings of the 2009 Summer Computer Simulation Conference
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In this paper, we present a model for a cooperative problem solving process. The model consists of four distinct phases: Recognition, Skills' Search, Agents' Choice and Execution. These different behavior-driven phases of our model describe the circumstances under which agents will identify the need for cooperation, and how these agents will behave when such situations arise.