I. Introduction
By DEFINITION, a collaborative System of Systems (SoS) consists of component systems that willingly fulfill the collective goal [1]. These component systems may be people, organisms, enzymes, atoms, multi-robot systems, or any entities that appear to make decisions to self-organize. The method of organization appears to be a decision process. The process of making decisions is basically ubiquitous in human activity [2]. Furthermore, every decision maker has human characteristics that affect the preference for certain decisions [3]. Yet, any system lacking intelligence has insufficient means for making these so-called true decisions. Elsewhere complex decision behavior has been studied as swarm intelligence [4], [5]. Consequently, the decision mechanism may be a determinism formula rather than mental capacity. We propose ordinary game theory applied to SoS distinguishing characteristics to model how non-swarming systems decide to join a collaborative SoS. As new SoS are planned and designed, the engineering and design of these systems may utilize aspects of self-organizing processes. Understanding this behavior will contribute to improved SoS engineering (SoSE).