Value of Information for Argumentation based Intelligence Analysis
Todd Robinson

TL;DR
This paper introduces a method to evaluate the importance of arguments within argumentation frameworks to enhance decision-making in intelligence analysis, focusing on maritime domain scenarios.
Contribution
It presents a novel approach to quantify the value of information in argument frameworks, aiding analysts in prioritizing intelligence collection efforts.
Findings
Identifies the most valuable arguments in a framework
Demonstrates the approach in maritime intelligence analysis
Helps balance information value against collection costs
Abstract
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…
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Taxonomy
TopicsLogic, Reasoning, and Knowledge · Multi-Agent Systems and Negotiation · AI-based Problem Solving and Planning
