|Título||Robust regulation adaptation in multi-agent systems|
|Publication Type||Journal Article|
|Year of Publication||2013|
|Authors||Campos J, López-Sánchez M, Salamó M, Avila P, Rodríguez-Aguilar JA|
|Journal||ACM Transactions on Autonomous and Adaptive Systems|
Adaptive organisation-centred multi-agent systems can dynamically modify their organisational components to better accomplish their goals. Our research line proposes an abstract distributed architecture (2-LAMA) to endow an organisation with adaptation capabilities. This paper focuses on regulationadaptation based on a machine learning approach, in which adaptation is learned by applying a tailored case-based reasoning method. We evaluate the robustness of the system when it is populated by noncompliant agents. The evaluation is performed in a peer-to-peer sharing network scenario. Results show that our proposal signi?cantly increases system performance and can cope with regulation violators without incorporating any speci?c regulation-compliance enforcement mechanism.
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