Usage of Decision Support Systems for Conflicts Modelling during Information Operations Recognition
Oleh Andriichuk, Vitaliy Tsyganok, Dmitry Lande, Oleg Chertov,, Yaroslava Porplenko

TL;DR
This paper presents a methodology for using decision support systems to model conflicts in information operations recognition, leveraging expert knowledge and content monitoring to improve understanding of complex, weakly structured systems.
Contribution
It introduces a novel approach for conflict modeling in information operations using decision support systems based on a second-order reflexive model.
Findings
Proposes a new conflict modeling methodology.
Develops a design pattern for knowledge bases.
Demonstrates application in information operations recognition.
Abstract
Application of decision support systems for conflict modeling in information operations recognition is presented. An information operation is considered as a complex weakly structured system. The model of conflict between two subjects is proposed based on the second-order rank reflexive model. The method is described for construction of the design pattern for knowledge bases of decision support systems. In the talk, the methodology is proposed for using of decision support systems for modeling of conflicts in information operations recognition based on the use of expert knowledge and content monitoring.
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Taxonomy
TopicsOpinion Dynamics and Social Influence · Information and Cyber Security · Complex Network Analysis Techniques
