ABSTRACT
In this chapter, we present an axiomatic taxonomy based on five orders of emergent behavior with four sub-orders and relate those to metamodels derived from sources of information feedback, system energy theory, and entity complexity. This leads to a resulting modeling specification that can be used to describe systems of multiple interacting entities in general and lays a foundation for expressing a modeling theoretic for emergent behavior systems. We exercise this modeling theoretic in simulations of three natural systems where emergence is commonly recognized. Finally, we consider how this theoretic may offer unique insights to the detection and prediction of emergence when applied to simulations of man-made systems.
