Karl Friston: Neuroscience, Free Energy Principle, Cognitive Science | Hrvoje Kukina Podcast #48

I had a great conversation with Professor Karl Friston. We discussed a wide range of topics, including how his background in neuroscience and physics has influenced his approach to cognitive science, the Free Energy Principle, how active inference compares to traditional reinforcement learning, the role of uncertainty in the Free Energy Principle, how his theory relates to the Bayesian brain hypothesis, whether there is empirical evidence that directly supports the predictions made by active inference, how the Free Energy Principle explains mental disorders like schizophrenia or depression, the implications of his work for understanding consciousness, whether artificial intelligence could ever truly replicate the predictive processing of the human brain, how active inference can be applied in artificial intelligence, his take on the idea that the Free Energy Principle could lead to artificial general intelligence (AGI), whether the Free Energy Principle can help explain how language and social cognition evolve, whether active inference could be used to improve human-computer interaction or brain-computer interfaces, how the Free Energy Principle relates to the nature vs. nurture debate, whether he sees his theory—regarding Schrödinger’s What is Life?—as a fundamental principle of life itself, whether active inference could explain free will or the illusion of it, the role of entropy in cognition and life, and the most exciting applications of his research that we might see in the next decade.

Karl Friston LINKS:
Books: https://www.amazon.com/Books-Karl-J-F...
Scholar: https://scholar.google.co.uk/citation...
UCL: https://profiles.ucl.ac.uk/2747-karl-...
Wiki: https://en.wikipedia.org/wiki/Karl_J....

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#Neuroscience #FreeEnergyPrinciple #CognitiveScience