Conditional logic of actions and causation

By Laura Giordano, C. Schwind. 2004

43 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Rashmi Prasad
2. Tim Miller
3. Aravind K. Joshi
4. Eleni Miltsakaki
5. Vera Demberg
6. Peter A. Flach
7. Kacper Sokol
8. Q. Liao

In Computer Networks and Communications

1. Tim Miller

Citations in the corpus

• Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, neutral): “Other relevant scholarship in this domain: (Brodbeck, 1962; Dunbar, 1995; Eberle, Kaplan, and Montague, 1961; Feigl and Maxwell, 1962; Ginet, 2008; Giordano and Schwind, 2004; Eberle, Kaplan, and Montague, 1961; Hankinson, 2001; Harman, 1965; Hempel and Oppenheim, 1948; Hospers, 1946; Hume, 1748;…”
• Explanation in Artificial Intelligence: Insights from the Social Sciences (2017, background): “While several formal models of causation have been proposed, such as those based on conditional logic [53, 98], the model of causation that 10”
• The Penn Discourse Treebank 2.0 Annotation Manual (2007, background): “The rough formal semantics of “Cause” follows Giordano and Schwind (2004) in modelling causality with the binary operator < such that A<B models the causal law “A causes B”.”