Computational Machines in a Coexistence with Concrete Universals and
  Data Streams
  We discuss that how the majority of traditional modeling approaches are
following the idealism point of view in scientific modeling, which follow the
set theoretical notions of models based on abstract universals. We show that
while successful in many classical modeling domains, there are fundamental
limits to the application of set theoretical models in dealing with complex
systems with many potential aspects or properties depending on the
perspectives. As an alternative to abstract universals, we propose a conceptual
modeling framework based on concrete universals that can be interpreted as a
category theoretical approach to modeling. We call this modeling framework
pre-specific modeling. We further, discuss how a certain group of mathematical
and computational methods, along with ever-growing data streams are able to
operationalize the concept of pre-specific modeling.
