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Counterfactual Causality from First Principles?

Gregor Gössler 1 Oleg Sokolsky 2 Jean-Bernard Stefani 1
1 SPADES - Sound Programming of Adaptive Dependable Embedded Systems
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
2 University of Pennsylvania [Philadelphia]
Abstract : In this position paper we discuss three main shortcomings of existing approaches to counterfactual causality from the computer science perspective, and sketch lines of work to try and overcome these issues: (1) causality definitions should be driven by a set of precisely specified requirements rather than specific examples; (2) causality frameworks should support system dynamics; (3) causality analysis should have a well-understood behavior in presence of abstraction.
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Conference papers
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https://hal.inria.fr/hal-01631415
Contributor : Gregor Gössler <>
Submitted on : Thursday, November 9, 2017 - 11:11:07 AM
Last modification on : Friday, November 20, 2020 - 9:24:05 AM

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Gregor Gössler, Oleg Sokolsky, Jean-Bernard Stefani. Counterfactual Causality from First Principles?. 2nd International Workshop on Causal Reasoning for Embedded and safety-critical Systems Technologies (CREST 2017), 2017, Uppsala, Sweden. pp.47 - 53, ⟨10.4204/EPTCS.259.5⟩. ⟨hal-01631415⟩

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