Method for Searching of an Optimal Scenario of Impact in Cognitive Maps during Information Operations Recognition
Oleh Dmytrenko, Dmitry Lande, Oleh Andriichuk

TL;DR
This paper presents a method for selecting the optimal impact scenario in cognitive maps during information operations, using multi-criteria assessment based on impact force and implementation speed.
Contribution
It introduces a novel multi-criteria approach for optimal scenario selection in cognitive maps, improving upon existing models like Kosko's.
Findings
The proposed method effectively identifies optimal impact scenarios.
It demonstrates advantages over the Kosko model.
The approach enhances decision-making in information operations.
Abstract
In this paper, we consider the problem of choosing the optimal scenario of the impact between nodes based on of the introduced criteria for the optimality of the impact. Two criteria for the optimality of the impact, which are called the force of impact and the speed of implementation of the scenario, are considered. To obtain a unique solution of the problem, a multi-criterial assessment of the received scenarios using the Pareto principle was applied. Based on the criteria of a force of impact and the speed of implementation of the scenario, the choice of the optimal scenario of impact was justified. The results and advantages of the proposed approach in comparison with the Kosko model are presented.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
MethodsSPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings
