Knowledge Management to Support Situation-aware Risk Management in Autonomous, Self-managing Agents (bibtex)
by Lorenz, Martin, Gehrke, Jan D., Hammer, Joachim, Langer, Hagen and Timm, Ingo J.
Abstract:
We present a novel approach to enable decision-making in a highly distributed multiagent environment where individual agents need to act in an autonomous fashion. Our architecture framework integrates risk management, knowledge management, and agent deliberation to enable sophisticated, autonomous decision-making. Instead of a centralized knowledge repository, our approach supports a highly distributed knowledge base in which each agent manages a fraction of the knowledge needed by the entire system. Our approach also addresses the fact that the desired knowledge is often highly dynamic, context-sensitive, incomplete, or uncertain. Thus risk management becomes an integral component which enables context-based, situation-aware decision making, which in turn supports autonomous, self-managing behavior of the agents. A prototype system demonstrating the feasibility of our approach is being developed as part of an ongoing funded research project.
Reference:
Lorenz, Martin, Gehrke, Jan D., Hammer, Joachim, Langer, Hagen and Timm, Ingo J., "Knowledge Management to Support Situation-aware Risk Management in Autonomous, Self-managing Agents", In Self-Organization and Autonomic Informatics (I), IOS Press, no. 135, Glasgow, UK, pp. 114–128, 2005.
Bibtex Entry:
@inproceedings{Lorenz2005a,
abstract = {We present a novel approach to enable decision-making in a highly distributed multiagent environment where individual agents need to act in an autonomous fashion. Our architecture framework integrates risk management, knowledge management, and agent deliberation to enable sophisticated, autonomous decision-making. Instead of a centralized knowledge repository, our approach supports a highly distributed knowledge base in which each agent manages a fraction of the knowledge needed by the entire system. Our approach also addresses the fact that the desired knowledge is often highly dynamic, context-sensitive, incomplete, or uncertain. Thus risk management becomes an integral component which enables context-based, situation-aware decision making, which in turn supports autonomous, self-managing behavior of the agents. A prototype system demonstrating the feasibility of our approach is being developed as part of an ongoing funded research project.},
address = {Glasgow, UK},
author = {Lorenz, Martin and Gehrke, Jan D. and Hammer, Joachim and Langer, Hagen and Timm, Ingo J.},
booktitle = {Self-Organization and Autonomic Informatics (I)},
editor = {Czap, Hans and Unland, Rainer and Branki, Cherif and Tianfield, Huaglory},
isbn = {1-58603-577-0},
keywords = {ISPL,Agents,Knowledge Management,Logistics},
number = {135},
pages = {114--128},
publisher = {IOS Press},
series = {Frontiers in Artificial Intelligence and Applications},
title = {{Knowledge Management to Support Situation-aware Risk Management in Autonomous, Self-managing Agents}},
url = {http://www-agki.tzi.de/grp/ag-ki/download/2005/lorenzEtA05soas.pdf},
year = {2005}
}
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