Abstract
Electronic institutions (EIs) define the rules of the game in agent societies by fixing what agents are permitted and forbidden to do and under what circumstances. Autonomic Electronic Institutions (AEIs) adapt their regulations to comply with their goals despite coping with varying populations of self-interested external agents. This paper presents a self-adaptation model based on Case-Based Reasoning (CBR) that allows an AEI to yield a dynamical answer to changing circumstances.
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References
Luck, M., McBurney, P., Shehory, O., Willmott, S.: Agentlink Roadmap (2005), Agentlink.org
Kephart, J.O., Chess, D.M.: The vision of autonomic computing. IEEE Computer 36(1), 41–50 (2003)
Esteva, M.: Electronic Institutions: From specification to development. IIIA, Ph.D. Monography 19 (2003)
Bou, E., López-Sánchez, M., Rodríguez-Aguilar, J.A.: Towards self-configuration in autonomic electronic institutions. In: Noriega, P., Vázquez-Salceda, J., Boella, G., Boissier, O., Dignum, V., Fornara, N., Matson, E. (eds.) COIN 2006. LNCS (LNAI), vol. 4386, pp. 220–235. Springer, Heidelberg (2007)
Aamodt, A., Plaza, E.: Case-based reasoning: Foundational issues, methodological variations, and system approaches. AI Commun 7(1), 39–59 (1994)
Gasser, L., Ishida, T.: A dynamic organizational architecture for adaptive problem solving. In: Proc. of AAAI-91, Anaheim, CA, pp. 185–190 (1991)
Horling, B., Benyo, B., Lesser, V.: Using Self-Diagnosis to Adapt Organizational Structures. In: Proceedings of the 5th International Conference on Autonomous Agents, pp. 529–536 (2001)
Conte, R., Falcone, R., Sartor, G.: Agents and norms: How to fill the gap? Artificial Intelligence and Law (7), 1–15 (1999)
Fitoussi, D., Tennenholtz, M.: Choosing social laws for multi-agent systems: Minimality and simplicity. Artificial Intelligence 119(1-2), 61–101 (2000)
Camurri, M., Mamei, M., Zambonelli, F.: Urban traffic control with co-fields. In: Proc. of E4MAS Workshop at AAMAS, vol. 2006, pp. 11–25 (2006)
Plaza, E., Ontañón, S.: Cooperative multiagent learning. In: Alonso, E., Kudenko, D., Kazakov, D. (eds.) AAMAS 2000 and AAMAS 2002. LNCS (LNAI), vol. 2636, pp. 1–17. Springer, Heidelberg (2003)
Ros, R., Veloso, M.: Executing Multi-Robot Cases through a Single Coordinator. In: Proc. of Autonomous Agents and Multiagent Systems, pp. 1264–1266 (2007)
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Bou, E., López-Sánchez, M., Rodríguez-Aguilar, J.A. (2008). Using Case-Based Reasoning in Autonomic Electronic Institutions. In: Sichman, J.S., Padget, J., Ossowski, S., Noriega, P. (eds) Coordination, Organizations, Institutions, and Norms in Agent Systems III. COIN 2007. Lecture Notes in Computer Science(), vol 4870. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79003-7_10
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DOI: https://doi.org/10.1007/978-3-540-79003-7_10
Publisher Name: Springer, Berlin, Heidelberg
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