The six frameworks could be sorted based on their conceptual closeness, use of methodologies, or shared foundational principles. Here’s one possible ordering:
1. Mathematical-Physical Sciences (MPS): Deals with physical phenomena using rigorous, formal methodologies. The principles and methodologies in this domain provide a basis for other domains, especially the Applied Technology and Engineering and Statistical Optimization-Error Minimization-Data-Driven-Environment-Aware Learning Algorithms frameworks.
2. Applied Technology and Engineering (ATE): Closely related to the Mathematical-Physical Sciences framework in its application of scientific principles, it is more focused on the practical application and development of technologies and engineered systems.
3. Statistical Optimization-Error Minimization-Data-Driven-Environment-Aware Learning Algorithms (SO-EM-DD-EA LA): Although it’s heavily reliant on mathematics and computer science, its focus is on understanding and modeling cognitive processes and behaviors, providing a bridge towards more cognitively focused frameworks.
4. Dynamic Systems-Predictive Coding-Neurophenomenological-Embodied Ecology Cognitive Restructuring (DS-PC-NE-EE CR): Still focused on cognition, but emphasizes complex and emergent phenomena, providing a segue towards more phenomenological and philosophical considerations.
5. Phenomeno-Ontological Perception in Cultural-Cosmological Contexts (POPC): An interdisciplinary framework that merges elements of philosophy, cognitive science, psychology, and cultural studies. It deals with perception, consciousness, and existence, concepts that link cognitive science with the humanities.
6. Language, Literature, and Cultural Studies (LLCS): This humanities-focused framework deals with the analysis and interpretation of texts, cultures, and languages. It stands somewhat apart from the others due to its humanities grounding, but the emphasis on language and culture creates a point of connection with the Phenomeno-Ontological Perception in Cultural-Cosmological Contexts framework.
This is just one possible sorting order. Depending on the context, there might be other reasonable ways to sort these frameworks. Please note that the boundaries between these frameworks are not rigid but are fluid and overlapping.