Severity-Sensitive Robustness Analysis in Normative Systems

Luca Gasparini; Timothy J Norman; Martin J Kollingbaum; Liang Chen

doi:10.1007/978-3-319-25420-3_5

Severity-Sensitive Robustness Analysis in Normative Systems

Luca Gasparini, Timothy J Norman, Martin J Kollingbaum, Liang Chen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

10 Downloads (Pure)

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.

Original language	English
Title of host publication	Coordination, Organizations, Institutions, and Norms in Agent Systems X
Editors	A Ghose, A Oren, N Telang, P Thangarajah
Publisher	Springer
Pages	72-88
Number of pages	17
ISBN (Electronic)	978-3-319-25420-3
ISBN (Print)	978-3-319-25419-7
DOIs	https://doi.org/10.1007/978-3-319-25420-3_5
Publication status	Published - 7 Nov 2015
Event	The 17th International Workshop on Coordination, Organisations, Institutions and Norms (COIN 2014) - Paris, France Duration: 6 May 2014 → …

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	9372
ISSN (Print)	0302-9743

Conference

Conference	The 17th International Workshop on Coordination, Organisations, Institutions and Norms (COIN 2014)
Country	France
City	Paris
Period	6/05/14 → …

Keywords

model checker
preference relation
unmanned ariel vehicle
normative system
linear temporal logic

Access to Document

10.1007/978-3-319-25420-3_5

Accepted Manuscript
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-25420-3_5
Accepted author manuscript, 424 KB

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Martin Josef Kollingbaum
- School of Natural & Computing Sciences, Computing Science - Honorary Lecturer
Person: Honorary

Cite this

Gasparini, L., Norman, T. J., Kollingbaum, M. J., & Chen, L. (2015). Severity-Sensitive Robustness Analysis in Normative Systems. In A. Ghose, A. Oren, N. Telang, & P. Thangarajah (Eds.), Coordination, Organizations, Institutions, and Norms in Agent Systems X (pp. 72-88). (Lecture Notes in Computer Science; Vol. 9372). Springer . https://doi.org/10.1007/978-3-319-25420-3_5

Severity-Sensitive Robustness Analysis in Normative Systems. / Gasparini, Luca; Norman, Timothy J; Kollingbaum, Martin J; Chen, Liang.

Coordination, Organizations, Institutions, and Norms in Agent Systems X. ed. / A Ghose; A Oren; N Telang; P Thangarajah. Springer , 2015. p. 72-88 (Lecture Notes in Computer Science; Vol. 9372).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Gasparini, L, Norman, TJ, Kollingbaum, MJ & Chen, L 2015, Severity-Sensitive Robustness Analysis in Normative Systems. in A Ghose, A Oren, N Telang & P Thangarajah (eds), Coordination, Organizations, Institutions, and Norms in Agent Systems X. Lecture Notes in Computer Science, vol. 9372, Springer , pp. 72-88, The 17th International Workshop on Coordination, Organisations, Institutions and Norms (COIN 2014) , Paris, France, 6/05/14. https://doi.org/10.1007/978-3-319-25420-3_5

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AB - 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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ER -

Severity-Sensitive Robustness Analysis in Normative Systems

Abstract

Publication series

Conference

Keywords

Access to Document

Martin Josef Kollingbaum

Cite this