Communication and cooperation in agent systems: a pragmatic theory
Communication and cooperation in agent systems: a pragmatic theory
Competitive Markov decision processes
Competitive Markov decision processes
Reasoning about commitments and penalties for coordination between autonomous agents
Proceedings of the fifth international conference on Autonomous agents
Sequential optimality and coordination in multiagent systems
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
Automated evaluation of coordination approaches
COORDINATION'06 Proceedings of the 8th international conference on Coordination Models and Languages
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This paper presents a formal framework within which autonomous agents can dynamically select and apply different mechanisms to coordinate their interactions with one another. Agents use the task attributes and environmental conditions to evaluate which mechanism maximises their expected utility. Different agent types can be characterised by their willingness to cooperate and the relative value they place on short- vs long-term rewards. Our results demonstrate the viability of empowering agents in this way and show the quantitative benefits that agents accrue from being given the flexibility to control how they coordinate.