First-Order Bayesian Network Specifications Capture the Complexity Class PP

Fabio Gagliardi Cozman

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arXiv · 1609.03437

First-Order Bayesian Network Specifications Capture the Complexity Class PP

Fabio Gagliardi Cozman

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Abstract

The point of this note is to prove that a language is in the complexity class PP if and only if the strings of the language encode valid inferences in a Bayesian network defined using function-free first-order logic with equality.

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Fabio Gagliardi Cozman. 2016-09-12. First-Order Bayesian Network Specifications Capture the Complexity Class PP. https://arxiv.org/abs/1609.03437

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