Enhancing Performance of Cooperating Agents in Real-Time Diagnostic Systems
Abstract
We present a data-driven protocol and a supporting architecture for communication among cooperating intelligent agents in real-time diagnostic systems. The system architecture and the exchange of information among agents are based on simplicity of agents, hierarchical organization of agents, and modular non-overlapping division of the problem domain. These features combine to enable efficient diagnosis of complex system failures in real-time environments with high data volumes and moderate failure rates. Preliminary results of the real-world application of this work to the monitoring and diagnosis of complex systems are discussed in the context of NASA's interplanetary mission operations.
Cite
Text
Schwuttke and Quan. "Enhancing Performance of Cooperating Agents in Real-Time Diagnostic Systems." International Joint Conference on Artificial Intelligence, 1993.Markdown
[Schwuttke and Quan. "Enhancing Performance of Cooperating Agents in Real-Time Diagnostic Systems." International Joint Conference on Artificial Intelligence, 1993.](https://mlanthology.org/ijcai/1993/schwuttke1993ijcai-enhancing/)BibTeX
@inproceedings{schwuttke1993ijcai-enhancing,
title = {{Enhancing Performance of Cooperating Agents in Real-Time Diagnostic Systems}},
author = {Schwuttke, Ursula M. and Quan, Alan G.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1993},
pages = {332-337},
url = {https://mlanthology.org/ijcai/1993/schwuttke1993ijcai-enhancing/}
}