Statistical Epistemic Logic

Yusuke Kawamoto

doi:10.1007/978-3-030-31175-9_20

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arXiv · 1907.05995

Statistical Epistemic Logic

Yusuke Kawamoto

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Abstract

We introduce a modal logic for describing statistical knowledge, which we call statistical epistemic logic. We propose a Kripke model dealing with probability distributions and stochastic assignments, and show a stochastic semantics for the logic. To our knowledge, this is the first semantics for modal logic that can express the statistical knowledge dependent on non-deterministic inputs and the statistical significance of observed results. By using statistical epistemic logic, we express a notion of statistical secrecy with a confidence level. We also show that this logic is useful to formalize statistical hypothesis testing and differential privacy in a simple and abstract manner.

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Yusuke Kawamoto. 2019-07-13. Statistical Epistemic Logic. https://doi.org/10.1007/978-3-030-31175-9_20

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