Toward a Computational Model of Human Systems Dynamics

Computer simulation models are great tools to see patterns and possibilities in complex systems. Current modeling approaches fall short of reality, because they make assumptions that limit the uncertainty that is the hallmark of human systems at all scales.

We believe the fundamental limitation of these models is that they miss the open, high dimension, and nonlinear nature of people in their personal, intrapersonal, and large-scale interactions. In this paper, we propose a design for a computer simulation model that uses HSD Pattern Logic as a base. This simulation would be based on the mathematical relationships of constraints from containers, differences, and exchanges.

We welcome comments and feedback on this model, as well as partners to help us design and implement it.

Related Resources

This extract from Eoyang's dissertation gives the foundation for the CDE Model of Conditions for Self-Organizing in Human Systems.
Human systems dynamics is simple and practical. It also challenges fundamental assumptions about what we can know and how we can act with intention, even under conditions of radical uncertainty.