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Title

Robust regulation adaptation in multi-agent systems

AuthorsCampos, Jordi; López-Sánchez, Maite ; Salamo, Maria ; Avila, Pedro; Rodríguez-Aguilar, Juan Antonio
KeywordsOrganisation
Case-based
Regulation
Reasoning
Adaptation
Machine
Learning
Centred MAS
Issue Date2013
PublisherAssociation for Computing Machinery
CitationACM Transactions on Autonomous and Adaptive Systems 8 (3), 2013
AbstractAdaptive 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 article focuses on regulation-adaptation 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 non compliant agents. The evaluation is performed in a peer-to-peer sharing network scenario. Results show that our proposal significantly improves system performance and can cope with regulation violators without incorporating any specific regulation-compliance enforcement mechanisms. © 2013 ACM.
URIhttp://hdl.handle.net/10261/133778
DOI10.1145/2517328
Identifiersdoi: 10.1145/2517328
issn: 1556-4665
Appears in Collections:(IIIA) Artículos
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