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  1. Team Semantics for Interventionist Counterfactuals: Observations vs. Interventions.Fausto Barbero & Gabriel Sandu - 2020 - Journal of Philosophical Logic 50 (3):471-521.
    Team semantics is a highly general framework for logics which describe dependencies and independencies among variables. Typically, the dependencies considered in this context are properties of sets of configurations or data records. We show how team semantics can be further generalized to support languages for the discussion of interventionist counterfactuals and causal dependencies, such as those that arise in manipulationist theories of causation. We show that the “causal teams” we introduce in the present paper can be used for modelling some (...)
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  • Embedding causal team languages into predicate logic.Fausto Barbero & Pietro Galliani - 2022 - Annals of Pure and Applied Logic 173 (10):103159.
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  • Characterizing Counterfactuals and Dependencies over (Generalized) Causal Teams.Fausto Barbero & Fan Yang - 2022 - Notre Dame Journal of Formal Logic 63 (3):301-341.
    We analyze the causal-observational languages that were introduced in Barbero and Sandu (2018), which allow discussing interventionist counterfactuals and functional dependencies in a unified framework. In particular, we systematically investigate the expressive power of these languages in causal team semantics, and we provide complete natural deduction calculi for each language. Furthermore, we introduce a generalized semantics which allows representing uncertainty about the causal laws, and we analyze the expressive power and proof theory of the causal-observational languages over this enriched semantics.
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  • Causal and Evidential Conditionals.Mario Günther - 2022 - Minds and Machines 32 (4):613-626.
    We put forth an account for when to believe causal and evidential conditionals. The basic idea is to embed a causal model in an agent’s belief state. For the evaluation of conditionals seems to be relative to beliefs about both particular facts and causal relations. Unlike other attempts using causal models, we show that ours can account rather well not only for various causal but also evidential conditionals.
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  • A peculiarity in pearl’s logic of interventionist counterfactuals.Jiji Zhang, Wai-Yin Lam & Rafael De Clercq - 2013 - Journal of Philosophical Logic 42 (5):783-794.
    We examine a formal semantics for counterfactual conditionals due to Judea Pearl, which formalizes the interventionist interpretation of counterfactuals central to the interventionist accounts of causation and explanation. We show that a characteristic principle validated by Pearl’s semantics, known as the principle of reversibility, states a kind of irreversibility: counterfactual dependence (in David Lewis’s sense) between two distinct events is irreversible. Moreover, we show that Pearl’s semantics rules out only mutual counterfactual dependence, not cyclic dependence in general. This, we argue, (...)
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  • Three Forms of Actualist Direct Consequentialism.Shyam Nair - 2023 - Utilitas 35 (1):1-24.
    One family of maximizing act consequentialist theories are actualist direct theories. Indeed, historically there are at least three different forms of actualist direct consequentialism (due to Bentham, Moore, and contemporary consequentialists). This paper is about the logical differences between these three actualist direct theories and the differences between actualist direct theories and their competitors. Three main points emerge. First, the sharpest separation between actualist direct theories and their competitors concerns the so-called inheritance principle. Second, there are a myriad of other (...)
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  • Logic and AI in China: An Introduction. [REVIEW]Fenrong Liu & Kaile Su - 2013 - Minds and Machines 23 (1):1-4.
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  • What Should I Believe About What Would Have Been the Case?Franz Huber - 2015 - Journal of Philosophical Logic 44 (1):81-110.
    The question I am addressing in this paper is the following: how is it possible to empirically test, or confirm, counterfactuals? After motivating this question in Section 1, I will look at two approaches to counterfactuals, and at how counterfactuals can be empirically tested, or confirmed, if at all, on these accounts in Section 2. I will then digress into the philosophy of probability in Section 3. The reason for this digression is that I want to use the way observable (...)
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  • From causal models to counterfactual structures.Joseph Y. Halpern - 2013 - Review of Symbolic Logic 6 (2):305-322.
    Galles & Pearl (l998) claimed that s [possible-worlds] framework.s framework. Recursive models are shown to correspond precisely to a subclass of (possible-world) counterfactual structures. On the other hand, a slight generalization of recursive models, models where all equations have unique solutions, is shown to be incomparable in expressive power to counterfactual structures, despite the fact that the Galles and Pearl arguments should apply to them as well. The problem with the Galles and Pearl argument is identified: an axiom that they (...)
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  • Causal modeling, reversibility, and logics of counterfactuals.Wai Yin Lam - 2012 - Dissertation, Lingnan University
    This thesis studies Judea Pearl’s logic of counterfactuals derived from the causal modeling framework, in comparison to the influential Stanlnaker-Lewis counterfactual logics. My study focuses on a characteristic principle in Pearl’s logic, named reversibility. The principle, as Pearl pointed out, goes beyond Lewis’s logic. Indeed, it also goes beyond the stronger logic of Stanlnaker, which is more analogous to Pearl’s logic. The first result of this thesis is an extension of Stanlnaker’s logic incorporating reversibility. It will be observed that the (...)
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