Abstract
Generics are used frequently in various natural languages. Cohen’s theory (1999) is one of the most promising theories of generics. Cohen proposes a probabilistic account of generics. Leslie (2007, 2008) points out the three shortcomings of Cohen’s theory. Asher and Pelletier (2013) point out five more shortcomings of Cohen’s theory. The aim of this paper is to propose a new version of logic for generics—First-Order Logic for Generics (\(\mathsf {FLG}\))—that can overcome all of the eight shortcomings. To accomplish this goal, we provide the language of \(\mathsf {FLG}\) with an intuitionistic-Bayesian semantics.
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Notes
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For the strong soundness and completeness of superintuitionistic first-order logics with respect to \(\mathbf {P}_{S(\varPhi _1\wedge \ldots \wedge \varPhi _n)}\), consult [13].
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Weatherson provides four arguments for intuitionistic Bayesianism. However, these four arguments can be reduced to the following three arguments.
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The author would like to thank three anonymous reviewers of CLAR 2020 for their very helpful comments.
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Suzuki, S. (2020). Intuitionistic-Bayesian Semantics of First-Order Logic for Generics. In: Dastani, M., Dong, H., van der Torre, L. (eds) Logic and Argumentation. CLAR 2020. Lecture Notes in Computer Science(), vol 12061. Springer, Cham. https://doi.org/10.1007/978-3-030-44638-3_12
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