# Myopic Value of Information in Influence Diagrams

arXiv: https://arxiv.org/abs/1302.1535 · HTML: https://mlsanity.com/paper/1302.1535/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 Feb 2013.

## Built on by (most cited first, 1 of 1)

- [Value of Information for Argumentation based Intelligence Analysis](https://mlsanity.com/paper/2102.08180/) (2021)

## Abstract (arXiv)

We present a method for calculation of myopic value of information in influence diagrams (Howard & Matheson, 1981) based on the strong junction tree framework (Jensen, Jensen & Dittmer, 1994). The difference in instantiation order in the influence diagrams is reflected in the corresponding junction trees by the order in which the chance nodes are marginalized. This order of marginalization can be changed by table expansion and in effect the same junction tree with expanded tables may be used for calculating the expected utility for scenarios with different instantiation order. We also compare our method to the classic method of modeling different instantiation orders in the same influence diagram.