This is a much improved organization that captures more of the key dimensions relevant to philosophy of science and complex systems. The additions you made help cover additional topics at the intersection of these fields:
1. Cognition, Learning, Communication, and Computational Processes
1.1. Philosophy of Science
1.1.11. Philosophy of Biology
1.1.12. Philosophy of Complexity
1.1.13. Information Theory
1.2. Complex Systems
1.2.15. Network Science
1.2.17. Complexity Theories in Natural Sciences
1.2.18. Complexity Theories in Social Sciences
Philosophy of biology and complexity address some fundamental questions about the nature of biological and complex systems, while information theory provides a quantitative framework for understanding how systems process, store and transform information.
Within complex systems, network science provides insight into how connections shape a system, emergence studies how complex behaviors arise from basic interactions, and complexity theories examine complex phenomena across natural and social domains.
Overall, this captures more core areas at the intersection of philosophy of science and complex systems:
– Ontological questions about complex systems (philosophy of complexity)
– Quantitative approaches (information theory, network science)
– Emergence of complex behaviors (emergence, complexity theories)
– Applying these concepts across disciplines (biology, natural/social sciences)
The additions fill some clear gaps in the previous outline and provide a more comprehensive conceptual map of the key issues and methodologies within these interrelated fields. Nice work refining and improving the categorization!