Abstract
Early and consistent detection of abnormal conditions is important to the safe and efficient operation of complex industrial processes. Our research focuses on enabling the operators and engineers who control and maintain such systems to describe process conditions to software agents, deploy such agents to continuously monitor live process data, and receive appropriate notification from their personal agents concerning the process state. The resulting dynamic population of monitoring agents is managed by our agile computing framework according to policies that define computing and networking resource restrictions as well as user notification requirements and preferences.
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Bunch, L., Breedy, M., Bradshaw, J., Carvalho, M., Suri, N., Uszok, A., Hansen, J., Pechoucek, M., Marik, V.: Software Agents for Process Monitoring and Notification. In: Proceedings of the ACM Symposium for Applied Computing, Nicosia, Cyprus, pp. 94–99. ACM, New York (2004)
Blevins, T., McMillan, G., Wijsznis, W., Brown, M.: Advanced Control Unleashed: Plant Performance Management for Optimum Benefit. Research Triangle Park, NC: The Instrumentation, Systems, and Automation Society, pp. 163-182 (2003)
Hamdy, N., Fulvio, R.: Abnormal Condition Management with Real-time Expert System and Object Technology. PCAI 17(1), 28–35 (2003)
Heck, F., Laengle, T., Woern, H.: A Multi-Agent Based monitoring and Diagnosis System for Industrial Components. University of Karlsruhe, Institute for Process Control and Robotics, Karlsruhe, Germany
Letia, I.A., Craciun, F., Kope, Z., Netin, A.: Distibuted Diagnosis by BDI Agents. In: Proceedings of the IASTED International Conference Applied Informatics, Innsbruck, Austria (2000)
Carvalho, M., Breedy, M.: Supporting Flexible Data Feeds in Dynamic Sensor Grids Through Mobile Agents. In: Proceedings of the 6th International Conference in Mobile Agents, Barcelona, Spain (October 2002)
Suri, N., Bradshaw, J.M., Breedy, M., Groth, P., Hill, G., Jeffers, R., Mitrovich, T.: An Overview of the NOMADS Mobile Agent System. In: Sixth ECOOP Workshop on Mobile Object System, http://cui.unige.ch/~ecoopws/ws00
Uszok, A., Bradshaw, J.M., Jeffers, R., Suri, N., Hayes, P., Breedy, M., Bunch, L., Johnson, M., Kulkarni, S., Lott, J.: KAoS policy and Domain Services: Toward a Description-logic Approach to Policy Representation, Deconfliction, and Enforcement. In: Proceedings of IEEE Fourth International Workshop on Policy, Lake Como, Italy, June 2003, pp. 93–98 (2003)
Bradshaw, J.M., Uszok, A., Jeffers, R., Suri, N., Hayes, P., Burstein, M., Acquisti, A., Benyo, B., Breedy, M., Carvalho, M., Diller, D., Johnson, M., Kulkarni, S., Lott, J., Sierhuis, M., Van Hoof, R.: Representation and Reasoning for DAML-based Policy and Domain Services in KAoS and Nomads. In: Proceedings of the Autonomous Agents and Multi-Agent Systems Conference. Melbourne, Australia, pp. 835–842. ACM Press, New York (2003)
Bradshaw, J.M., Beautement, P., Breedy, M., Bunch, L., Drakunov, S., Feltovich, P.J., Hoffman, R.R., Jeffers, R., Johnson, M., Kulkarni, S., Lott, J., Raj, A., Suri, N., Uszok, A.: Making Agents Acceptable to People. In: Zhong, N., Liu, J. (eds.) Intelligent Technologies for Information Analysis: Advances in Agents, Data Mining, and Statistical Learning, Berlin, Germany, pp. 361–400. Springer, Heidelberg (2004)
Hendler, J., Berners-Lee, T., Miller, E.: Integrating Applications on the Semantic Web. Journal of the Institute of Electrical Engineers of Japan 122(10), 676–680 (2002)
Schreckenghost, D., Martin, C., Thronesbery, C.: Specifying Organizational Policies and Individual Preferences for Human-Software Interaction. In: Etiquette for Human-Computer Work, Papers from the AAAI Fall Symposium. Technical Report FS-02-02. AAAI Press, Menlo Park (2003)
Glymour, C., McGlaughlin, K.: Analyzing A Data Lookup Method for Machine Learning in Monitoring and Fault Localization for Hydrogen Generation Plants, Chemical Processing Plants and Other Complex Systems. Final Report for UCF contract 26-56-208. Pensacola, FL (September 2003)
McArthur, S.D.J., Davidson, E.M., Hossack, J.A., Mc Donald, J.R.: Automating Power System Fault Diagnosis through Multi-Agent System Technology. In: Proceedings of the Hawaii International Conference on System Sciences (2004)
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Bunch, L., Breedy, M., Bradshaw, J.M., Carvalho, M., Suri, N. (2005). KARMEN: Multi-agent Monitoring and Notification for Complex Processes. In: Mařík, V., William Brennan, R., Pěchouček, M. (eds) Holonic and Multi-Agent Systems for Manufacturing. HoloMAS 2005. Lecture Notes in Computer Science(), vol 3593. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11537847_18
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DOI: https://doi.org/10.1007/11537847_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28237-2
Online ISBN: 978-3-540-31831-6
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