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Embracing events in causal modelling: interventions and counterfactuals in CP-logic. (English) Zbl 1306.68197
Janhunen, Tomi (ed.) et al., Logics in artificial intelligence. 12th European conference, JELIA 2010, Helsinki, Finland, September 13–15, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-15674-8/pbk). Lecture Notes in Computer Science 6341. Lecture Notes in Artificial Intelligence, 313-325 (2010).
Summary: This paper integrates Pearl’s seminal work on probability and causality with that of Shafer. Using the language of CP-logic, it transposes Pearl’s analysis of interventions and counterfactuals to the semantic context of Shafer’s probability trees. This gives us definitions that work not on the level of random variables, but on the level of Humean events. There are some tangible benefits to our approach: we can elegantly handle counterfactuals in the context of cyclic causal relations, and are able to consider interventions that are both more fine-grained and more elaborate than Pearl’s.
For the entire collection see [Zbl 1196.68010].

MSC:
68T27 Logic in artificial intelligence
68T37 Reasoning under uncertainty in the context of artificial intelligence
Software:
CP-logic
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