The Data Absorption Technique: Coevolution to Automate the Accurate Representation of Social Structure

Coevolution is a technique that not only enables simulations to represent the formation of social structure, but also facilitates their capability to emulate the processes of iterative feedback underlying social data. With coevolution, simulations can be validated at a general level and automatically applied to specific scenarios, recreating the dissipative structure of real world social institutions from data alone. Examples of “seeding” coevolutionary systems with data are given, and techniques for deriving the causal processes of a system from a similar system are presented. Experimental results illustrate the significant advantage of using data absorption techniques to emulate the system that underlies correlative data.