A Case-Based Reasoning Approach for Norm Adaptation

Existing organisational centred multi-agent systems regulate agents’ activities. However, population/environmental changes may lead to a poor fulfilment of system’s goals, and therefore, adapting the whole organisation becomes key. In this paper, we propose to use Case-Based Reasoning learning to adapt norms that regulate agents’ behaviour. Moreover, we empirically evaluate this approach in a P2P scenario.
This work is partially funded by IEA (TIN2006-15662-C02-01), EVE (TIN2009-14702-C02-01 / TIN2009-14702-C02-02) and AT (CONSOLIDER CSD2007-0022) projects, EU-FEDER funds, the Catalan Gov. (Grant 2005-SGR-00093), and M. Esteva’s Ramon y Cajal contract.