@inproceedings{dbdee2fe8a8b499eb935cbf11fba9ed2,
title = "Norm approximation for imperfect monitors",
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.",
keywords = "Monitoring, Norms",
author = "Natasha Alechina and Mehdi Dastani and Brian Logan",
note = "Publisher Copyright: Copyright {\textcopyright} 2014, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.; 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014, AAMAS 2014 ; Conference date: 05-05-2014 Through 09-05-2014",
year = "2014",
language = "English",
series = "Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, AAMAS",
publisher = "International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)",
pages = "117--124",
booktitle = "13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014",
address = "United Kingdom",
}