Abstract
Increasing complexity and scales of computing systems bring growing demands on their designers and administrators. These issues have been explored from different viewpoints. While the multi-agent system researchers focus on the coordination and theoretic properties of distributed system, the researchers from the field of autonomic computing focus on the deployment of self-adapting systems in real domains. This contribution tries to bring together both domains and presents the multi-agent reflection from the autonomic computing point of view.
We show that proposed architecture of reflective agent covers all the characteristics of an autonomic computing system and furthermore, we describe some properties of reflective agents that can further extend the autonomic computing system, especially its self-optimizing abilities. All the characteristics of autonomic computing system are demonstrated on three use cases, where the reflective agents have been deployed, together with the results of experiments.
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Wooldridge, M., Jennings, N.R., Kinny, D.: The gaia methodology for agent-oriented analysis and design. Autonomous Agents and Multi-Agent Systems 3(3), 285–312 (2000)
Rao, A.S., Georgeff, M.P.: BDI-agents: from theory to practice. In: Proceedings of the First Int. Conference on Multiagent Systems, San Francisco (1995)
Maes, P.: Computational reflection. Technical report 87-2, Free University of Brussels, AI Lab (1987)
Smith, B.: Reflection and semantics in lisp. In: Proc. 11th ACM Symposium on Principles of Logic Programming, Salt Like City, Utah, Also Xerox PARC Intelligent Systems Laboratory (1984)
Elrad, T., Filman, R.E., Bader, A.: Aspect-oriented programming: Introduction. Commun. ACM 44(10), 29–32 (2001)
A-Globe: A-Globe Agent Platform (2006), http://agents.felk.cvut.cz/aglobe
Tožička, J., Jakob, M., Pěchouček, M.: Market-inspired approach to collaborative learning. In: Klusch, M., Rovatsos, M., Payne, T.R. (eds.) CIA 2006. LNCS (LNAI), vol. 4149, pp. 213–227. Springer, Heidelberg (2006)
Rehák, M., Pěchouček, M., Prokopová, M., Foltýn, L., Tožička, J.: Autonomous protection mechanism for joint networks in coalition operations. In: Knowledge Systems for Coalition Operations 2007, CTU, Prague 2007 (accepted to be published)
Autonomic computing: IBM’s perspective on the state of information technology (2007), http://researchweb.watson.ibm.com/autonomic/
FIPA: Foundation for intelligent physical agents (2004), http://www.fipa.org
Foltýn, L., Tožička, J., Pěchouček, M., Jisl, P., Szabó, R., Rollo, M., Rehák, M.: Collective adaptation of reflective agents. In: Proceedings of Engineering Societies in the Agents World VII, Doublin, 2006. LNAI, Springer-Verlag, Heidelberg 2007 (Accepted to be published)
Tožička, J., Rovatsos, M., Pěchouček, M.: A framework for agent-based distributed machine learning and data mining. In: Autonomous Agents and Multi-Agent Systems (AAMAS 2007), ACM Press, New York (2007) (accepted to be published)
Muggleton, S., Raedt, L.D.: Inductive logic programming: Theory and methods. Journal of Logic Programming 19/20, 629–679 (1994)
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Tožička, J., Pěchouček, M., Rehák, M., Prokopová, M. (2007). Multi-agent Reflection in Autonomic Systems. In: Mařík, V., Vyatkin, V., Colombo, A.W. (eds) Holonic and Multi-Agent Systems for Manufacturing. HoloMAS 2007. Lecture Notes in Computer Science(), vol 4659. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74481-8_4
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DOI: https://doi.org/10.1007/978-3-540-74481-8_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74478-8
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