A Complete Criterion for Value of Information in Soluble Influence Diagrams
Artificial Intelligence
2022-02-24 v1 Machine Learning
Abstract
Influence diagrams have recently been used to analyse the safety and fairness properties of AI systems. A key building block for this analysis is a graphical criterion for value of information (VoI). This paper establishes the first complete graphical criterion for VoI in influence diagrams with multiple decisions. Along the way, we establish two important techniques for proving properties of multi-decision influence diagrams: ID homomorphisms are structure-preserving transformations of influence diagrams, while a Tree of Systems is collection of paths that captures how information and control can flow in an influence diagram.
Keywords
Cite
@article{arxiv.2202.11629,
title = {A Complete Criterion for Value of Information in Soluble Influence Diagrams},
author = {Chris van Merwijk and Ryan Carey and Tom Everitt},
journal= {arXiv preprint arXiv:2202.11629},
year = {2022}
}
Comments
In Proceedings of the AAAI 2022 Conference