Abstract
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.
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Campos, J., López-Sánchez, M., Esteva, M. (2010). A Case-Based Reasoning Approach for Norm Adaptation. In: Corchado, E., Graña Romay, M., Manhaes Savio, A. (eds) Hybrid Artificial Intelligence Systems. HAIS 2010. Lecture Notes in Computer Science(), vol 6077. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13803-4_21
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DOI: https://doi.org/10.1007/978-3-642-13803-4_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13802-7
Online ISBN: 978-3-642-13803-4
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