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Quantifiers in Language and Logic

Oxford, England: Clarendon Press (2006)

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  1. Some Reflections on the Set-based and the Conditional-based Interpretations of Statements in Syllogistic Reasoning.Martin Pereira-Fariña - 2014 - Archives for the Philosophy and History of Soft Computing 2014 (1).
    In the analysis of syllogistic reasoning, a type of inference patternbased on the chaining of terms through quantified statements, two interpretationsabout them can be found in the literature. One is the so-called set-based interpretation,which assumes that quantified statements and syllogisms talk aboutquantity-relationships between sets. The other one, the so-called conditionalinterpretation, assumes that they talk about conditional propositions and howstrong are the links between the antecedent and the consequent. In this paper,we expose both models and formulate three relevant questions to be (...)
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  • Generalized Quantifiers, and Beyond.Hanoch Ben-Yami - 2009 - Logique Et Analyse (208):309-326.
    I show that the contemporary dominant analysis of natural language quantifiers that are one-place determiners by means of binary generalized quantifiers has failed to explain why they are, according to it, conservative. I then present an alternative, Geachean analysis, according to which common nouns in the grammatical subject position are plural logical subject-terms, and show how it does explain that fact and other features of natural language quantification.
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  • Probability propagation in selected Aristotelian syllogisms.Niki Pfeifer - 2019 - In G. Kern-Isberner & Zoran Ognjanović (eds.), ECSQARU 2019: Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Cham: Springer. pp. 419-431.
    This paper continues our work on a coherence-based probability semantics for Aristotelian syllogisms (Gilio, Pfeifer, and Sanfilippo, 2016; Pfeifer and Sanfilippo, 2018) by studying Figure III under coherence. We interpret the syllogistic sentence types by suitable conditional probability assessments. Since the probabilistic inference of P|S from the premise set {.
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