Abstract
Most works on norms in the multi-agent systems field have concentrated on how norms can be applied to regulate behaviour in agent societies using a top-down approach. In this work, we describe the internal architecture of an agent which identifies what the norm of a society is using a bottom-up approach. The agents infer norms without the norms being given to them explicitly. We demonstrate how the norm associated with using a park can be inferred by an agent using the proposed architecture.
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Rymaszewski, M., Au, W.J., Wallace, M., Winters, C., Ondrejka, C., Batstone-Cunningham, B., Rosedale, P.: Second Life: The Official Guide. SYBEX Inc., Alameda (2006)
Ullmann-Margalit, E.: The Emergence of Norms. Clarendon Press, Oxford (1977)
Coleman, J.: Foundations of Social Theory. Belknap Press (August 1990)
Elster, J.: Social norms and economic theory. The Journal of Economic Perspectives 3(4), 99–117 (1989)
Verhagen, H.: Simulation of the Learning of Norms. Social Science Computer Review 19(3), 296–306 (2001)
Shoham, Y., Tennenholtz, M.: Emergent conventions in multi-agent systems: Initial experimental results and observations (preliminary report). In: KR, pp. 225–231 (1992)
Sen, S., Airiau, S.: Emergence of norms through social learning. In: Proceedings of Twentieth International Joint Conference on Artificial Intelligence (IJCAI’07), pp. 1507–1512. AAAI Press, Menlo Park (2007)
Axelrod, R.: An evolutionary approach to norms. The American Political Science Review 80(4), 1095–1111 (1986)
Castelfranchi, C., Conte, R., Paolucci, M.: Normative reputation and the costs of compliance. Journal of Artificial Societies and Social Simulation 1(3) (1998)
Neumann, M.: A classification of normative architectures. In: Proceedings of World Congress on Social Simulation (2008)
Andrighetto, G., Conte, R., Turrini, P., Paolucci, M.: Emergence in the loop: Simulating the two way dynamics of norm innovation. In: Boella, G., van der Torre, L., Verhagen, H. (eds.) Normative Multi-agent Systems, Dagstuhl Seminar Proceedings, vol. 07122. Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl (2007)
Andrighetto, G., Campenni, M., Cecconi, F., Conte, R.: How agents find out norms: A simulation based model of norm innovation. In: 3rd International Workshop on Normative Multiagent Systems (NorMAS 2008), Luxembourg, July 15-16 (2008)
Campenni, M., Andrighetto, G., Cecconi, F., Conte, R.: Normal = normative? the role of intelligent agents in norm innovation. In: The Fifth Conference of the European Social Simulation Association (ESSA), University of Brescia, September 1-5 (2008)
Mannila, H., Toivonen, H., Inkeri Verkamo, A.: Discovery of frequent episodes in event sequences. Data Mining and Knowledge Discovery 1(3), 259–289 (1997)
Epstein, J.M.: Learning to be thoughtless: Social norms and individual computation. Comput. Econ. 18(1), 9–24 (2001)
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Savarimuthu, B.T.R., Cranefield, S., Purvis, M.A., Purvis, M.K. (2010). Internal Agent Architecture for Norm Identification. In: Padget, J., et al. Coordination, Organizations, Institutions and Norms in Agent Systems V. COIN 2009. Lecture Notes in Computer Science(), vol 6069. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14962-7_16
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DOI: https://doi.org/10.1007/978-3-642-14962-7_16
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