Articles
on Articles
Main Publications
- Beckers, S. (2026). Large Language Models as Nondeterministic Causal Models. In Proceedings of the 23rd International Conference on Principles of Knowledge Representation_and Reasoning.
- Lally, J., Kazemi, M., Paoletti, N., Watson, D., and Beckers, S. (2026). Robust Counterfactual Policy Optimisation via Nondeterministic Causal Models. In Proceedings of the UAI 2026 Workshop on Causality for Decision Making.
- Beckers, S. (2025). What Does It Take To Make A Difference? A Reply To Andreas and Günther. In Journal of Philosophy, 122(4), 177-189. (Click here for official version)
- Beckers, S. (2025). Actual Causation and Nondeterministic Causal Models. In Proceedings of the 4th Conference on Causal Learning and Reasoning, PMLR, 275, 514-532.
- Beckers, S. (2025). Nondeterministic Causal Models. In Proceedings of the 4th Conference on Causal Learning and Reasoning, PMLR, 1532-1554.
- Belle, V., Chockler, H., Vallor, S., Varshney, K.R., Vennekens, J., and Beckers, S. (2024). Trustworthiness and Responsibility in AI - Causality, Learning and Verification (Dagstuhl Seminar 24121) Dagstuhl Reports.
- Beckers, S., Chockler, H., and Halpern, J.Y. (2024). A Causal Analysis of Harm. In Minds & Machines, 34 (34).
- Beckers, S. (2023). Moral Responsibility for AI Systems. In Advances in Neural Information Processing Systems 36.
- Beckers, S., Chockler, H., and Halpern, J.Y. (2023). Quantifying Harm. In Proceedings of the 32nd International Joint Conference on Artificial Intelligence, 363-371.
- Beckers, S., Halpern, J.Y., and Hitchcock, C. (2023). Causal Models with Constraints. In Proceedings of the 2nd Conference on Causal Learning and Reasoning, 213, 866-879.
- von Kügelgen, J., Mohamed, A., and Beckers, S. (2023). Backtracking Counterfactuals. In Proceedings of the 2nd Conference on Causal Learning and Reasoning, 213, 177-196.
- Beckers, S., Chockler, H., and Halpern, J.Y. (2022). A Causal Analysis of Harm. In Advances in Neural Information Processing Systems 35.
- Beckers, S. (2022). Causal Explanations and XAI. In Proceedings of the 1st Conference on Causal Learning and Reasoning, PMLR, 177, 90-109.
- Beckers, S. (2021). Causal Sufficiency and Actual Causation. Journal of Philosophical Logic, 50, 1341-1374.
- Beckers, S. (2021). The Counterfactual NESS Definition of Causation. In Proceedings of the AAAI Conference on Artificial Intelligence, vol 35, no 7, 6210-6217.
- Beckers, S. (2021). Equivalent Causal Models. In Proceedings of the AAAI Conference on Artificial Intelligence, vol 35, no 7, 6202-6209.
- Beckers, S., Eberhardt, F., and Halpern, J.Y. (2019). Approximate Causal Abstraction. In Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence (UAI2019). (Click here for official version)
- Beckers, S., and Halpern, J.Y. (2019). Abstracting Causal Models. In Proceedings of the 33rd AAAI Conference on Artificial Intelligence, vol 33, 2678-2685. (Click here for official version)
- Beckers, S. (2018). AAAI: an Argument Against Artificial Intelligence, In Vincent C. Müller (ed.), Philosophy and Theory of Artificial Intelligence 2017, (SAPERE; Berlin: Springer), 235-247. (Click here for official version)
- Beckers, S., and Vennekens, J. (2018). A Principled Approach to Defining Actual Causation, Synthese, 195(2), 835-862. (Click here for official version)
- Beckers, S., and Vennekens, J. (2017). The Transitivity and Asymmetry of Actual Causation, Ergo, 4(1), 1-27.
- Beckers, S., and Vennekens, J. (2016). A General Framework for Defining and Extending Actual Causation using CP-logic, International Journal for Approximate Reasoning, 77: 105-126. (Click here for official version)
Other Publications
- Beckers, S. (2017). AAAI: an Argument Against Artificial Intelligence, In Proceedings of the 3rd International Workshop on AI, Ethics and Society. (This short text is a precursor to the article above with the same title.)
- Beckers, S., and Vennekens, J. (2015). Towards a General Definition of Actual Causation Using CP-logic. In Proceedings of the 2nd International Workshop on Probabilistic Logic Programming co-located with ICLP, volume 1413 of CEUR Workshop Proceedings, 19–38. (Together with the following paper this is a precursor to the IJAR article above.)
- Beckers, S., and Vennekens, J. (2015). Combining Probabilistic, Normative, and Causal Reasoning in CP-logic, In Proceedings of the 12th International Symposium on Logical Formalizations of Commonsense Reasoning, 32-38.
- Beckers, S., and Vennekens, J. (2012). Counterfactual Dependency and Actual Causation in CP-logic and Structural Models: a Comparison. In Proceedings of the Sixth STAIRS, volume 241 of Frontiers in Artificial Intelligence and Applications, 35–46.
- Beckers, S., De Samblanx, G., De Smedt, F., Goedemé, T., Struyf, L., and Vennekens, J. (2012). Parallel hybrid SAT solving using OpenCL. In Proceedings of Benelux Conference on Artificial Intelligence, 11-18.
- Beckers, S., De Samblanx, G., De Smedt, F., Goedemé, T., Struyf, L., and Vennekens, J. (2011). Parallel SAT-solving with OpenCL. In Proceedings of the IADIS International Conference on Applied Computing, 435-441.
PhD
This is my PhD dissertation. Most of its content has been published in the articles above.
Old Stuff
These are some of the papers and dissertations that I wrote as a student, hence they might not be worth spending much (if any) time on.
Beckers, S. (2011). Deductive Reasoning in Guarded FO(ID), Master Thesis Mathematics.
Beckers, S. (2006). How to Choose a Natural Number at Random.
Beckers, S. (2006). Wittgenstein en het Ethische, Master Thesis Philosophy.
Beckers, S. (2005). Narrowing the Gap between the Natural and the Social Sciences.