From Strategy to Simulation: A Three-Layer Model of Modern Conflict

Modern conflict and decision-making environments are increasingly defined by rapid adaptation, computational acceleration, and continuous information instability. While Game Theory has historically provided a foundation for modeling strategic interaction, its core assumptions—stable environments, fixed utilities, and discrete actions—are increasingly violated in contemporary systems. This work proposes a three-layer decision architecture to address these limitations. First, Game Theory defines the possibility space of strategic interaction. Second, a Synthetic Strategy layer is introduced to model the probabilistic evolution of agents and environments through continuous simulation. Third, Control Theory governs the selection and stabilization of outcomes via feedback mechanisms. Within this framework, conflict is no longer understood as a sequence of decisions within a fixed system, but as an ongoing process of generating, navigating, and constraining dynamic state spaces. This paper reframes strategy as a computational pipeline: Possibility → Simulation → Selection and argues that strategic advantage in modern systems is increasingly determined by the ability to simulate, adapt, and stabilize outcomes under conditions of uncertainty and adversarial pressure.