Natasha Alechina
Norm approximation for imperfect monitors
Alechina, Natasha; Dastani, Mehdi; Logan, Brian
Authors
Mehdi Dastani
Brian Logan
Abstract
In this paper, we consider the runtime monitoring of norms with imperfect monitors. A monitor is imperfect for a norm if it has insufficient observational capabilities to determine if a given execution trace of a multi-agent system complies with or violates the norm. One approach to the problem of imperfect monitors is to enhance the observational capabilities of the normative organisation. However this may be costly or in some cases impossible. Instead we show how to synthesise an approximation of an 'ideal' norm that can be perfectly monitored given a monitor, and which is optimal in the sense that any other approximation would fail to detect at least as many violations of the ideal norm. We give a logical analysis of (im)perfect monitors. We state the computational complexity of the norm approximation problem, and give an optimal algorithm for generating optimal approximations of norms given a monitor.
Citation
Alechina, N., Dastani, M., & Logan, B. Norm approximation for imperfect monitors. Presented at 13th International Conference on Autonomous Agents & Multiagent Systems AAMAS 2014
Conference Name | 13th International Conference on Autonomous Agents & Multiagent Systems AAMAS 2014 |
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End Date | May 9, 2014 |
Publication Date | May 5, 2014 |
Deposit Date | Sep 21, 2015 |
Publicly Available Date | Sep 21, 2015 |
Peer Reviewed | Peer Reviewed |
Public URL | https://nottingham-repository.worktribe.com/output/729232 |
Publisher URL | http://dl.acm.org/citation.cfm?id=2615753 |
Additional Information | ISBN 9781450327381 |
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