Decentralised Approaches for Self-Adaptation in Agent Organisations


Kota, Ramachandra, Gibbins, Nicholas and Jennings, Nick (2012) Decentralised Approaches for Self-Adaptation in Agent Organisations. ACM Transactions on Autonomous and Adaptive Systems, 7, (1), 1-28.

Download

[img] PDF - Accepted Version
Download (463Kb)
[img] PDF
Download (428Kb)

Description/Abstract

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.

Item Type: Article
Keywords: Autonomic computing, Self-Organisation, Adaptation, Organisation Structure, Agent Organisation
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Agents, Interactions & Complexity
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science
ePrint ID: 271602
Date Deposited: 28 Sep 2010 14:21
Last Modified: 27 Mar 2014 20:17
Publisher: ACM
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/271602

Actions (login required)

View Item View Item