Causality and Responsibility for Formal Verification and Beyond

Hana Chockler
(King's College London)

The theory of actual causality, defined by Halpern and Pearl, and its quantitative measure - the degree of responsibility - was shown to be extremely useful in various areas of computer science due to a good match between the results it produces and our intuition. In this paper, I describe the applications of causality to formal verification, namely, explanation of counterexamples, refinement of coverage metrics, and symbolic trajectory evaluation. I also briefly discuss recent applications of causality to legal reasoning.

Morning Keynote in Gregor Gössler and Oleg Sokolsky: Proceedings First Workshop on Causal Reasoning for Embedded and safety-critical Systems Technologies (CREST 2016), Eindhoven, The Netherlands, 8th April 2016, Electronic Proceedings in Theoretical Computer Science 224, pp. 1–8.
Invited paper.
Published: 26th August 2016.

ArXived at: http://dx.doi.org/10.4204/EPTCS.224.1 bibtex PDF
References in reconstructed bibtex, XML and HTML format (approximated).
Comments and questions to: eptcs@eptcs.org
For website issues: webmaster@eptcs.org