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Explore fundamental concepts of complexity science and evolutionary systems theory in this comprehensive lecture that examines how complex systems emerge, self-organize, and adapt across multiple disciplines. Delve into the evolutionary-systemic worldview that challenges traditional Newtonian mechanics by emphasizing creative processes and the spontaneous emergence of new structures, organizations, and functions. Learn about key principles including entropy, information theory, natural selection, variation, self-organization, positive and negative feedback mechanisms, fitness landscapes, integration and differentiation processes, attractors, hierarchical organization, goal-directedness, and control systems. Discover how these concepts apply across physical, chemical, biological, mental, and social phenomena, leading to increased complexity in natural and artificial systems. Examine recent approaches from systems theory, cybernetics, complex adaptive systems, chaos theory, biology, and evolutionary applications in psychology, ethics, culture, and epistemology. Understand how evolutionary mechanisms that generate complex systems provide a foundation for an integrated worldview that addresses fundamental philosophical questions about human nature, origins, destiny, and moral frameworks. Access accompanying course notes through the provided research portal link to supplement your understanding of these foundational concepts in complexity science.
