References

  1. Luc De Raedt, Angelika Kimmig & Hannu Toivonen (2007): ProbLog: A Probabilistic Prolog and Its Application in Link Discovery. In: 20th International Joint Conference on Artificial Intelligence 7. AAAI Press, Hyderabad, India, pp. 2462–2467, doi:10.5555/1625275.1625673.
  2. Nicole Van Hoeck (2015): Cognitive Neuroscience of Human Counterfactual Reasoning. Frontiers in Human Neuroscience 9, doi:10.3389/fnhum.2015.00420.
  3. Rafael Kiesel, Kilian Rückschloß & Felix Weitkämper (2023): ``What if?'' in Probabilistic Logic Programming. Accepted for TPLP Proceedings of ICLP 2023. Available at https://arxiv.org/abs/2305.15318.
  4. Judea Pearl (2000): Causality, 2 edition. Cambridge University Press, Cambridge, UK, doi:10.1017/CBO9780511803161.
  5. Fabrizio Riguzzi (2020): Foundations of Probabilistic Logic Programming: Languages, Semantics, Inference and Learning. River Publishers, doi:10.1201/9781003338192.
  6. Kilian Rückschloß & Felix Weitkämper (2022): Exploiting the Full Power of Pearl's Causality in Probabilistic Logic Programming. In: Proceedings of the International Conference on Logic Programming 2022 Workshops, CEUR Workshop Proceedings 3193. CEUR-WS.org, Haifa, Israel. Available at http://ceur-ws.org/Vol-3193/paper1PLP.pdf.
  7. Taisuke Sato (1995): A Statistical Learning Method for Logic Programs with Distribution Semantics. In: Logic Programming: The 12th International Conference. The MIT Press, Tokyo, Japan, pp. 715–729, doi:10.7551/mitpress/4298.003.0069.

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