A new lecture from the Global Initiative of Academic Networks (GIAN) delves into the ontological challenges posed by complex systems, focusing on the concept of emergence. The video, titled L08 Ontological Problems of Complex Phenomena: The Concept of Emergence, is part of a broader course "Emergence and Understanding of a Complex World."
Emergence refers to the way complex patterns and behaviors arise from simpler interactions. Ants form colonies, neurons produce consciousness, and markets generate economic trends — all examples where the whole is greater than the sum of its parts. The lecture examines the philosophical implications: How can new properties "emerge" if they were not present in the components? Is emergence a real phenomenon or just a limitation of our understanding?
The talk explores different types of emergence — weak vs. strong — and their relevance to fields like physics, biology, and social sciences. It challenges reductionist views that everything can be explained by fundamental particles, arguing that some phenomena require new conceptual frameworks.
This lecture is ideal for students and researchers interested in complexity science, philosophy of science, and systems thinking.