Value of Information for Argumentation based Intelligence Analysis
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Abstract (arXiv)
Argumentation provides a representation of arguments and attacks between these arguments. Argumentation can be used to represent a reasoning process over evidence to reach conclusions. Within such a reasoning process, understanding the value of information can improve the quality of decision making based on the output of the reasoning process. The value of an item of information is inherently dependent on the available evidence and the question being answered by the reasoning. In this paper we introduce a value of information on argument frameworks to identify the most valuable arguments within the finite set of arguments in the framework, and the arguments and attacks which could be added to change the output of an evaluation. We demonstrate the value of information within an argument framework representing an intelligence analysis in the maritime domain. Understanding the value of information in an intelligence analysis will allow analysts to balance the value against the costs and risks of collection, to effectively request further collection of intelligence to increase the confidence in the analysis of hypotheses.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 4 of its 34 references that are in the map. First posted on arXiv 16 Feb 2021.
Builds on
4 of 34 references.
References · 4
- 2014Optimal Value of Information in Graphical Modelscited by 7
- 2013Myopic Value of Information in Influence Diagramscited by 1
- 2016Formulating Semantics of Probabilistic Argumentation by Characterizing Subgraphs: Theory and Empirical Resultscited by 1
- 2019Value of Information in Probabilistic Logic Programscited by 1
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Citing papers per year: 2022: 1.
1 paper.
- 2022Online Handbook of Argumentation for AI: Volume 3cited by 1
- 2022Online Handbook of Argumentation for AI: Volume 315 Dec 2022