AIJul 27, 2014

A Logic for Reasoning about Evidence

arXiv:1407.7185v167 citations
Originality Incremental advance
AI Analysis

This work addresses foundational issues in reasoning about evidence, which is incremental as it builds on existing logical frameworks.

The paper tackles the problem of formalizing evidence as a function from prior to posterior beliefs, introducing a logic with a sound and complete axiomatization and analyzing its decision problem complexity.

We introduce a logic for reasoning about evidence, that essentially views evidence as a function from prior beliefs (before making an observation) to posterior beliefs (after making the observation). We provide a sound and complete axiomatization for the logic, and consider the complexity of the decision problem. Although the reasoning in the logic is mainly propositional, we allow variables representing numbers and quantification over them. This expressive power seems necessary to capture important properties of evidence

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes