Model theory of measure spaces and probability logic

Review of Symbolic Logic 6 (3):367-393 (2013)
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Abstract

We study the model-theoretic aspects of a probability logic suited for talking about measure spaces. This nonclassical logic has a model theory rather different from that of classical predicate logic. In general, not every satisfiable set of sentences has a countable model, but we show that one can always build a model on the unit interval. Also, the probability logic under consideration is not compact. However, using ultraproducts we can prove a compactness theorem for a certain class of weak models

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Citations of this work

Computational aspects of satisfiability in probability logic.Rutger Kuyper - 2014 - Mathematical Logic Quarterly 60 (6):444-470.

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References found in this work

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Lattice Theory.Garrett Birkhoff - 1950 - Journal of Symbolic Logic 15 (1):59-60.
Can logic be combined with probability? Probably.Colin Howson - 2009 - Journal of Applied Logic 7 (2):177-187.
The logic of integration.Seyed-Mohammad Bagheri & Massoud Pourmahdian - 2009 - Archive for Mathematical Logic 48 (5):465-492.
Robust logics.Leslie G. Valiant - 2000 - Artificial Intelligence 117 (2):231-253.

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