This paper examines the role of power structures and strategic decisions in trajectories toward war and peace. Part I introduces a fuzzy inference engine for computationally simulating “balance of power”. Part II compares simulation results from hegemonic, bi-polar, and multi-polar system structures, each with three actors. Part III explores strategies for maximizing peace under each of these system structures. Part IV applies these lessons to real-world event chronologies.