A novel conflict analysis model based on multi-scale information with game theoretic approach

We aimed to design a novel conflict analysis model that incorporates a hybrid information system and gameplay between the involved parties or players. In a hybrid information system, the decision maker can express his opinion from multiple data sets based on his expertise, experience, level of hesitancy, and risk factors involved. From this multiscale data, we carefully compared all players' opinions and designed three measures determining the degree of alliance, neutrality, and conflict. Based on game theory principles, we measured each player's gain for three actions/strategies: Go in alliance, remain neutral, or go against the other player. Based on the highest gains, the players were classified as allies, neutral, or in conflict (Nash equilibrium). With the power of careful multiscale opinions and bilateral study of all three possible scenarios, the proposed model has many advantages in accurately modeling conflict scenarios. A detailed comparative analysis confirms the practical use of the proposed framework.