Exploring Predictability in Armed Conflict

Abstract

This article proposes a direct relationship between complexity and predictability in a two-agent noncooperative zero-sum game (2XZSG). The author explores this proposition by modeling armed conflict as a 2XZSG and using case studies in armed conflict as the dataset for the systematic literature review. This article uses a multiple case study approach, systematically reviewing 13 case studies in armed conflict that yielded 156 references identifying four themes—environmental, human resource, operational, and supply chain constraints—that demonstrate a direct relationship between complexity and predictability. The data focuses on decisions made in particular battles and campaigns as well as the constraints that impacted decision making. By identifying those decisions and constraints, four themes emerged. These four themes are an innovation as a potential addendum to the war gaming methodology in the military decision making process (MDMP).