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(De-)Composing Causality in Labeled Transition Systems
University of Konstanz, Konstanz, Germany.
University of Konstanz, Konstanz, Germany.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).ORCID iD: 0000-0002-4869-6794
2016 (English)In: 1st Workshop on Causal Reasoning for Embedded and safety-critical Systems Technologies (CREST’16) / [ed] Gregor Gössler & Oleg Sokolsky, Open Publishing Association , 2016, Vol. 224, 10-24 p.Conference paper (Refereed)
Abstract [en]

In this paper we introduce a notion of counterfactual causality in the Halpern and Pearl sense that is compositional with respect to the interleaving of transition systems. The formal framework for reasoning on what caused the violation of a safety property is established in the context of labeled transition systems and Hennessy Milner logic. The compositionality results are devised for non-communicating systems.

Place, publisher, year, edition, pages
Open Publishing Association , 2016. Vol. 224, 10-24 p.
, Electronic Proceedings in Theoretical Computer Science, ISSN 2075-2180 ; 224
Keyword [en]
Causality, Labeled Transition Systems, Modal Logic, Hennessy Milner Logic, Modal Decomposition
National Category
Computer Science
URN: urn:nbn:se:hh:diva-32121DOI: 10.4204/EPTCS.224.3OAI: diva2:1010143
The 1st Workshop on Causal Reasoning for Embedded and safety-critical Systems Technologies, Eindhoven, The Netherlands, April 8, 2016
ELLIIT - The Linköping‐Lund Initiative on IT and Mobile CommunicationsSwedish Research Council, 621-2014-5057Knowledge Foundation, 20140312

Funding: The work of Georgiana Caltais was partially supported by an Independent Research Start-up Grant founded by Zukunftskolleg at Konstanz University. The work of Mohammad Reza Mousavi has been partially supported by the Swedish Research Council (Vetenskapsrådet) award number: 621-2014-5057 (Effective Model-Based Testing of Concurrent Systems) and the Swedish Knowledge Foundation (Stiftelsen för Kunskaps- och Kompetensutveckling) in the context of the AUTO-CAAS HöG project (number: 20140312).

Available from: 2016-10-02 Created: 2016-10-02 Last updated: 2016-10-03Bibliographically approved

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