•  695
    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 atomic formulas. We extend CMS to an evaluation of the probability of counterfactuals with disjunctive antecedents, and more generally, to counterfactuals whose antecedent is an arbitrary Boolean combination of atomic formulas. Our main idea is to assign a probability to a counterfactual (A ∨ B) > C at a causal model M …Read more
  •  64
    Truthmakers, Incompatibility, and Modality
    with Matteo Plebani and Vita Saitta
    Australasian Journal of Logic 19 (5). 2022.
    This paper introduces a new framework, based on the notion of compatibility space, obtained by adding a primitive incompatibility relation to a state space in the sense of Fine. The key idea inspiring the framework is to modify Fine's truthmaker semantics by taking the notion of incompatibility as primitive, and use it to define other notions. We discuss some interesting features of the framework and explore its advantages over the standard framework of state spaces. We review some applications …Read more
  •  42
    Counterfactuals as modal conditionals, and their probability
    with Tommaso Flaminio and Stefano Bonzio
    Artificial Intelligence 323 (C): 103970. 2023.
    In this paper we propose a semantic analysis of Lewis' counterfactuals. By exploiting the structural properties of the recently introduced boolean algebras of conditionals, we show that counterfactuals can be expressed as formal combinations of a conditional object and a normal necessity modal operator. Specifically, we introduce a class of algebras that serve as modal expansions of boolean algebras of conditionals, together with their dual relational structures. Moreover, we show that Lewis' se…Read more
  • Logical Form: Between Logic and Natural Language, by Andrea Iacona (review)
    Philosophical Inquiries 10 (1). 2022.
    Book review of Andrea Iacona, Logical Form: Between Logic and Natural Language, Springer, 2018, 133 pages