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cs.LO2025
Conditionals Based on Selection Functions, Modal Operators and Probabilities
Tommaso Flaminio, Lluis Godo, Gluliano Rosella
Methods for probability updating, of which Bayesian conditionalization is the most well-known and widely used, are modeling tools that aim to represent the process of modifying an…
cs.LO2023
Causal Modeling Semantics for Counterfactuals with Disjunctive Antecedents
Giuliano Rosella, Jan Sprenger
Causal Modeling Semantics (CMS, e.g., Galles and Pearl 1998; Pearl 2000; Halpern 2000) is a powerful framework for evaluating counterfactuals whose antecedent is a conjunction of a…