Kota, Ramachandra, Gibbins, Nicholas and Jennings, Nick
Decentralised Approaches for Self-Adaptation in Agent Organisations
ACM Transactions on Autonomous and Adaptive Systems, 7, (1), .
Self-organising multi-agent systems provide a suitable paradigm for developing autonomic computing systems that manage themselves. Towards this goal, we demonstrate a robust, decentralised approach for structural adaptation in explicitly modelled problem solving agent organisations. Based on self-organisation principles, our method enables the autonomous agents to modify their structural relations to achieve a better allocation of tasks in a simulated task-solving environment. Specifically, the agents reason about when and how to adapt using only their history of interactions as guidance. We empirically show that, in a wide range of closed, open, static and dynamic scenarios, the performance of organisations using our method is close (70-90%) to that of an idealised centralised allocation method and is considerably better (10-60%) than the current state of the art decentralised approaches.
||Autonomic computing, Self-Organisation, Adaptation, Organisation Structure, Agent Organisation
||Web & Internet Science, Agents, Interactions & Complexity
||28 Sep 2010 14:21
||17 Apr 2017 18:10
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