Abstract
Norms specify ideal behaviour. Agents, however, are autonomous, and may fail to comply with the ideal. Contrary to Duty obligations can be used to specify reparational behaviour that mitigates the effects of a violation. In addition to specifying reparational behaviours, it is important to understand how robust a system is against possible violations. Depending on what kind of system property we want to preserve, non-compliance with different norms may be of varying severity. We propose a method for analysing robustness of normative systems, with support for Contrary to Duty obligations. We introduce violation severity as a concept orthogonal to reparational behaviour and specify it by means of a partial order over norms. We use this severity partial order, together with normative specifications, to rank the possible worlds from the most to the least compliant. In this way, we are able to use model checking to analyse robustness to a certain severity, or whether it is possible to achieve a certain goal, without violating any norm of a given severity.
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- 1.
còir is the Scottish Gaelic for obligation.
References
Ågotnes, T., Van der Hoek, W., Wooldridge, M.: Robust normative systems and a logic of norm compliance. Log. J. IGPL 18(1), 4–30 (2010)
Chisholm, R.M.: Contrary-to-duty imperatives and deontic logic. Analysis 24(2), 33–36 (1963)
Clarke, E.M., Grumberg, O., Peled, D.: Model Checking. The MIT Press, Cambridge (1999)
Clavel, M., Durán, F., Eker, S., Lincoln, P., Martí-Oliet, N., Meseguer, J., Talcott, C. (eds.): All About Maude - A High-Performance Logical Framework. LNCS, vol. 4350. Springer, Heidelberg (2007)
Fagundes, M.S., Ossowski, S., Luck, M., Miles, S.: Using normative Markov decision processes for evaluating electronic contracts. AI Commun. 25(1), 1–17 (2012)
Floyd, R.W.: Algorithm 97: shortest path. Commun. ACM 5(6), 345 (1962)
French, T., Mc Cabe-Dansted, J.C., Reynolds, M.: A temporal logic of robustness. In: Konev, B., Wolter, F. (eds.) FroCos 2007. LNCS (LNAI), vol. 4720, pp. 193–205. Springer, Heidelberg (2007)
Gasparini, L., Norman, T.J., Kollingbaum, M.J., Chen, L., Meyer, J.J.C.: Verifying normative system specifications containing collective imperatives and deadlines. In: Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (2015)
Kahn, A.B.: Topological sorting of large networks. Commun. ACM 5(11), 558–562 (1962)
Kazmierczak, P., Pedersen, T., Ågotnes, T.: NORMC: a norm compliance temporal logic model checker. In: Kersting, K., Toussaint, M. (eds.) Frontiers in Artificial Intelligence and Applications, pp. 168–179. IOS Press, Amsterdam (2012)
Kwiatkowska, M., Norman, G., Parker, D.: Advances and challenges of probabilistic model checking. In: Proceedings of the 48th Annual Allerton Conference on Communication, Control, and Computing, pp. 1691–1698 (2010)
Prakken, H., Sergot, M.: Contrary-to-duty obligations. Stud. Log. 57(1), 91–115 (1996)
van der Torre, L., Tan, Y.H.: Contrary-to-duty reasoning with preference-based dyadic obligations. Ann. Math. Artif. Intell. 27(1–4), 49–78 (1999)
Vasconcelos, W.W., Kollingbaum, M.J., Norman, T.J.: Normative conflict resolution in multi-agent systems. Auton. Agent. Multi-Agent Syst. 19(2), 124–152 (2009)
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This research was sponsored by Selex ES.
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Gasparini, L., Norman, T.J., Kollingbaum, M.J., Chen, L. (2015). Severity-Sensitive Robustness Analysis in Normative Systems. In: Ghose, A., Oren, N., Telang, P., Thangarajah, J. (eds) Coordination, Organizations, Institutions, and Norms in Agent Systems X. COIN 2014. Lecture Notes in Computer Science(), vol 9372. Springer, Cham. https://doi.org/10.1007/978-3-319-25420-3_5
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DOI: https://doi.org/10.1007/978-3-319-25420-3_5
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