Active Diagnosis for Agents with Belief Management. Mühlbacher, C. & Steinbauer, G. In International Workshop on Principles of Diagnosis, 2014. abstract bibtex Autonomous agents performing tasks in dynamic environments have to deal with the challenge of unexpected changes in the world. Such changes may lead to an Agent’s belief that is in contradiction with reality. Such changes can be a result of an action which has an unexpected outcome or another agent in the world which changes the environment in an unpredictable way. In order to deal with unexpected changes in the world a diagnosis on the history of performed actions providing an explanation for the change can be used. Such a diagnosis may result in multiple equally likely explanations not suitable for a safe continuation by the agent. Thus we propose an active diagnosis approach which rules out diagnosis hypotheses by executing additional sensing actions and provides the agent a more secured knowledge for future decisions.
@inproceedings{muhlbacher_active_2014,
title = {Active {Diagnosis} for {Agents} with {Belief} {Management}},
abstract = {Autonomous agents performing tasks in dynamic environments have to deal with the challenge of unexpected changes in the world. Such changes may lead to an Agent’s belief that is in contradiction with reality. Such changes can be a result of an action which has an unexpected outcome or another agent in the world which changes the environment in an unpredictable way. In order to deal with unexpected changes in the world a diagnosis on the history of performed actions providing an explanation for the change can be used. Such a diagnosis may result in multiple equally likely explanations not suitable for a safe continuation by the agent. Thus we propose an active diagnosis approach which rules out diagnosis hypotheses by executing additional sensing actions and provides the agent a more secured knowledge for future decisions.},
booktitle = {International {Workshop} on {Principles} of {Diagnosis}},
author = {Mühlbacher, Clemens and Steinbauer, Gerald},
year = {2014}
}
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