Abstract
We consider a resource access control scenario in an open multi-agent system. We specify a mutable set of rules to determine how resource allocation is decided, and minimally assume agent behaviour with respect to these rules is either selfish or responsible. We then study how a combination of learning, reputation, and voting can be used, in the absence of any centralised enforcement mechanism, to ensure that it is more preferable to conform to a system norm than defect against it. This result indicates how it is possible to leverage local adaptation with respect to the Rules of Social-Exchange, Choice, and Order to promote a ‘global’ system property.
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Carr, H., Pitt, J., Artikis, A. (2009). Peer Pressure as a Driver of Adaptation in Agent Societies. In: Artikis, A., Picard, G., Vercouter, L. (eds) Engineering Societies in the Agents World IX. ESAW 2008. Lecture Notes in Computer Science(), vol 5485. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02562-4_11
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DOI: https://doi.org/10.1007/978-3-642-02562-4_11
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