Architecture for Discovery of Crises in MAS

• Autorzy: Nawarecki, E. , Kisiel-Dorohinicki, M. , Dobrowolski, G.
• Języki publikacji: EN

Abstrakty

EN

The contribution deals with a class of intelligent decentralized systems that meet the agent paradigm. Such systems are marked by the possibility of arising critical situations, interpreted here as the threat of loss (partial or complete) of the system functionality. The work is focused on designing an overall architecture of the (sub-)system dedicated to the discovery of crises and support of anti-crisis activities. The architecture is proposed as a reference one so as it is possible to adjust it to the specificity of any particular application. As an illustration the case of a transportation system is discussed.

Słowa kluczowe

EN

multi-agent systems; crisis management

• Czasopismo: Fundamenta Informaticae
• Rocznik: 2006
• Tom: Vol. 71, nr 1
• Strony: 37-47
• Opis fizyczny: bibliogr. 14 poz.

Twórcy

autor

Nawarecki, E.

autor

Kisiel-Dorohinicki, M.

autor

Dobrowolski, G.

• Computer Science Department, AGH University of Science and Technology al. Mickiewicza 30,Kraków, Poland,

Bibliografia

• [1] J. Collins, M. Tsvetovas, R. Sundareswara, J. van Tonder, M. Gini, and B. Mobasher. Evaluating risk: flexibility and feasibility in multi-agent contracting. In O. Etzioni, J.-P. M¨uller, and J. M. Bradshaw, editors, Proceedings of the Third International Conference on Autonomous Agents (Agents'99), pages 350-351.ACM Press, 1999.
• [2] G. Dobrowolski, M. Kisiel-Dorohinicki, and E. Nawarecki. Dual nature of mass multi-agent systems. Systems Science, 27(3):77-96, 2002.
• [3] G. Dobrowolski and E. Nawarecki. Crisis management via agent-based simulation. In Dunin-Keplicz et al. [4], pages 551-562.
• [4] B. Dunin-Keplicz, A. Jankowski, A. Skowron, and M. Szczuka, editors. Monitoring, Scurity, and Rescue Techniques in Multi-Agent Systems, Advances in Soft Computing. Springer-Verlag, 2005.
• [5] M. Kisiel-Dorohinicki. Monitoring in multi-agent systems: Two perspectives. In Dunin-Keplicz et al. [4], pages 563-570.
• [6] S. Kluska-Nawarecka, G. Dobrowolski, and R. Marcjan. INFOCAST - A system for quality control procedures and diagnosis of casting defects. Acta Metallurgica Slovaca, 7:441-446, 2001.
• [7] H. K. Lee, H.-W. Lee, and D. Kim. Macroscopic traffic models from microscopic car-following models. Physical Review E, 64(5):056126, Nov. 2001.
• [8] E. Nawarecki, M. Kisiel-Dorohinicki, and G. Dobrowolski. Organisations in the particular class of multiagent systems. In B. Dunin-Keplicz and E. Nawarecki, editors, From Theory to Practice in Multi Agent Systems, volume 2296 of Lecture Notes in Artificial Intelligence. Springer-Verlag, 2002.
• [9] A. M. Uhrmacher and K. Gugler. Distributed, parallel simulation of multiple, deliberative agents. In D. Bruce, L. Donatiello, and S. Turner, editors, Procedings of the 14thWorkshop on Parallel and Distributed Simulation (PADS00), pages 101-110. IEEE Press, 2000.
• [10] J. Wahle, L. Neubert, and M. Schreckenberg. Modeling and simulation of traffic flow. Computer Physics Communications, 121/122:402-405, Nov. 1999.
• [11] G. Weiss, editor. Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence. The MIT Press, 1999.
• [12] M. Wooldridge, editor. An Introduction to Multiagent Systems. John Wiley & Sons, 2002.
• [13] S. Wu and V. Soo. Risk control in multi-agent coordination by negotiation with a trusted third party. In D. Thomas, editor, Proceedings of the 16th International Joint Conference on Artificial Intelligence (IJCAI-99-Vol1), pages 500-505. Morgan Kaufmann Publishers, 1999.
• [14] Z. Zhao, R. G. Belleman, G. D. van Albada, and P. M. A. Sloot. Scenario switches and state updates in an agent-based solution to constructing interactive simulation systems. In Proceedings of the Communication Networks and Distributed Systems Modeling and Simulation Conference (CNDS 2002), pages 3-10, 2002.