Cooperation without communication
Distributed Artificial Intelligence
Learning automata: an introduction
Learning automata: an introduction
Knowledge and common knowledge in a distributed environment
Journal of the ACM (JACM)
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
A decision-theoretic approach to coordinating multiagent interactions
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
The utility of communication in coordinating intelligent agents
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
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Distributed decision makers are modeled as players in a game with two levels. High level decisions concern the game environment and determine the willingness of the players to form a coalition (or group). Low level decisions involve the actions to be implemented within the chosen environment. Coalition and action strategies are determined by probability distributions which are updated using learning automata schemes. The payoffs are also probabitistic and there is uncertainty in the state vector since information is delayed. The goal is to reach equilibrium in both levels of decision making; the results show the conditions for instability, based on the age of information.