KARMEN: multi-agent monitoring and notification for complex processes

Authors:
Larry Bunch;Maggie Breedy;Jeffrey M. Bradshaw;Marco Carvalho;Niranjan Suri
Affiliations:
Florida Institute for Human and Machine Cognition, Pensacola, FL;Florida Institute for Human and Machine Cognition, Pensacola, FL;Florida Institute for Human and Machine Cognition, Pensacola, FL;Florida Institute for Human and Machine Cognition, Pensacola, FL;Florida Institute for Human and Machine Cognition, Pensacola, FL
Venue:
HoloMAS'05 Proceedings of the Second international conference on Holonic and Multi-Agent Systems for Manufacturing
Year:
2005

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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.