A Lewisian Logic of Causal Counterfactuals

Jiji Zhang

Research output: Contribution to journalJournal articlepeer-review

20 Citations (Scopus)


In the artificial intelligence literature a promising approach to counterfactual reasoning is to interpret counterfactual conditionals based on causal models. Different logics of such causal counterfactuals have been developed with respect to different classes of causal models. In this paper I characterize the class of causal models that are Lewisian in the sense that they validate the principles in Lewis’s well-known logic of counterfactuals. I then develop a system sound and complete with respect to this class. The resulting logic is the weakest logic of causal counterfactuals that respects Lewis’s principles, sits in between the logic developed by Galles and Pearl and the logic developed by Halpern, and stands to Galles and Pearl’s logic in the same fashion as Lewis’s stands to Stalnaker’s.
Original languageEnglish
Pages (from-to)77–93
Number of pages17
JournalMinds and Machines
Issue number1
Early online date18 Nov 2011
Publication statusPublished - Mar 2013

User-Defined Keywords

  • Causal models
  • Causal reasoning
  • Conditional logic
  • Counterfactual
  • Intervention


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