Probabilistic Canonical Models for Partial Logics

Notre Dame Journal of Formal Logic 44 (3):125-138 (2003)
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Abstract

The aim of the paper is to develop the notion of partial probability distributions as being more realistic models of belief systems than the standard accounts. We formulate the theory of partial probability functions independently of any classical semantic notions. We use the partial probability distributions to develop a formal semantics for partial propositional calculi, with extensions to predicate logic and higher order languages. We give a proof theory for the partial logics and obtain soundness and completeness results

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Author Profiles

Francois Lepage
Université de Montréal
Charles Morgan
University of Pennsylvania

Citations of this work

Narration in judiciary fact-finding: a probabilistic explication.Rafal Urbaniak - 2018 - Artificial Intelligence and Law 26 (4):345-376.
Partial Probability Functions and Intuitionistic Logic.François Lepage - 2012 - Bulletin of the Section of Logic 41 (3/4):173-184.

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References found in this work

Canonical models and probabilistic semantics.C. Morgan - 2000 - Poznan Studies in the Philosophy of the Sciences and the Humanities 71:17-35.
Partial monotonic protothetics.François Lepage - 2000 - Studia Logica 66 (1):147-163.

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