A Distributed Control Loop for Autonomous Recovery in a Multi-Agent Plan
Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence. Pages 1760-1764.
Abstract
This paper considers the execution of a Multi-Agent Plan in a partially observable environment, and faces the problem of recovering from action failures. The paper formalizes a local plan repair strategy, where each agent in the system is responsible for controlling (monitoring and diagnosing) the actions it executes, and for autonomously repairing its own plan when an action failure is detected. The paper describes also how to mitigate the impact of an action failure on the plans of other agents when the local recovery strategy fails.Roberto Micalizio
@inproceedings{ijcai2009p293,
title = {A Distributed Control Loop for Autonomous Recovery in a Multi-Agent Plan},
author = {Micalizio, Roberto},
booktitle = {Proceedings of the Twenty-First International Joint Conference on
Artificial Intelligence, {IJCAI-09}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Hiroaki Kitano},
pages = {1760--1764},
year = {2009},
url = {https://ijcai.org/proceedings/2009/293},
}
TY - CPAPER TI - A Distributed Control Loop for Autonomous Recovery in a Multi-Agent Plan AU - Micalizio, Roberto T2 - Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence, IJCAI-09 PB - International Joint Conferences on Artificial Intelligence PY - 2009 SP - 1760 EP - 1764 UR - https://ijcai.org/proceedings/2009/293 ER -Copied
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