Game-theoretic Approach for Non-Cooperative Planning
March 04, 2015 Β· Declared Dead Β· π AAAI Conference on Artificial Intelligence
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Authors
Jaume JordΓ‘n, Eva Onaindia
arXiv ID
1503.01288
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.GT
Citations
14
Venue
AAAI Conference on Artificial Intelligence
Last Checked
4 months ago
Abstract
When two or more self-interested agents put their plans to execution in the same environment, conflicts may arise as a consequence, for instance, of a common utilization of resources. In this case, an agent can postpone the execution of a particular action, if this punctually solves the conflict, or it can resort to execute a different plan if the agent's payoff significantly diminishes due to the action deferral. In this paper, we present a game-theoretic approach to non-cooperative planning that helps predict before execution what plan schedules agents will adopt so that the set of strategies of all agents constitute a Nash equilibrium. We perform some experiments and discuss the solutions obtained with our game-theoretical approach, analyzing how the conflicts between the plans determine the strategic behavior of the agents.
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