3 papers
cs.AI2025
Causal Counterfactuals Reconsidered
Sander Beckers
I develop a novel semantics for probabilities of counterfactuals that generalizes the standard Pearlian semantics: it applies to probabilistic causal models that cannot be extended…
cs.AI2025
Large Language Models as Nondeterministic Causal Models
Sander Beckers
Recent work by Chatzi et al. and Ravfogel et al. has developed, for the first time, a method for generating counterfactuals of probabilistic Large Language Models. Such counterfact…
cs.AI2025
Actual Causation and Nondeterministic Causal Models
Sander Beckers
In (Beckers, 2025) I introduced nondeterministic causal models as a generalization of Pearl's standard deterministic causal models. I here take advantage of the increased expressiv…