Causal Kripke Models
Yiwen Ding (Vrije Universiteit Amsterdam), Krishna Manoorkar (Vrije, Universiteit Amsterdam), Apostolos Tzimoulis (Vrije Universiteit Amsterdam),, Ruoding Wang (Vrije Universiteit Amsterdam), Xiaolong Wang (Vrije, Universiteit Amsterdam)

TL;DR
This paper extends causal models to a modal logic framework, enabling reasoning about causality across different possible worlds, incorporating temporality, knowledge, and uncertainty.
Contribution
It introduces a logic of actual causality with modal operators within a possible world semantics, expanding the scope of causal reasoning.
Findings
Framework allows reasoning about causality in multiple possible scenarios
Illustrated with diverse examples involving temporality and knowledge
Sets the stage for future research in causal logic and applications
Abstract
This work extends Halpern and Pearl's causal models for actual causality to a possible world semantics environment. Using this framework we introduce a logic of actual causality with modal operators, which allows for reasoning about causality in scenarios involving multiple possibilities, temporality, knowledge and uncertainty. We illustrate this with a number of examples, and conclude by discussing some future directions for research.
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