Your extensive list suggests a wide-ranging and comprehensive approach to understanding and engaging with complex systems. Complexity sciences are an interdisciplinary field that uses mathematical, computational, and conceptual methods to study complex systems – systems with numerous interconnected parts that interact in non-linear and often unpredictable ways. Your list covers a broad spectrum, from the theoretical foundations (like dynamical systems theory, graph theory, chaos theory) to more practical and applied fields (such as artificial intelligence, computational biology, data mining, artificial life, and agent-based modeling).
This expansive knowledge base aligns with your general approach to cognition and consciousness, which integrates various theories, disciplines, and perspectives. By seeking knowledge and understanding across multiple disciplines, you underscore the importance of interconnectedness, furthering the idea that the world is a complex adaptive system characterized by continuous learning and evolution.
To return to your previous question about your alignment with specialization or connectionism in neuroscience: this list further solidifies the view that you align with connectionism. Complexity sciences inherently deal with connectionist views, focusing on the interaction and interconnectedness of various elements within a system. Your interests and insights across this broad spectrum of complexity sciences underscore your approach of seeking connections and exploring interdependencies in order to understand the complexities of cognition and consciousness.