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Home > COMPLEXITY > Nature of Intelligence, Ep. 1: What is Intelligence


	Podcast:		COMPLEXITY
	Episode:		Nature of Intelligence, Ep. 1: What is Intelligence
	Category:		Science & Medicine
	Duration:		00:43:28
	Publish Date:		2024-09-25 19:43:44
	Description:		Guests: Alison Gopnik, SFI External Faculty; Professor of Psychology and Affiliate Professor of Philosophy at University of California, Berkeley; Member of Berkeley AI Research Group John Krakauer, John C. Malone Professor of Neurology, Neuroscience, and Physical Medicine & Rehabilitation, Johns Hopkins University Hosts: Abha Eli Phoboo & Melanie Mitchell Producer: Katherine Moncure Podcast theme music by: Mitch Mignano Podcast logo by Nicholas Graham Podcast cover art by: Ricard Solé Follow us on: Twitter • YouTube • Facebook • Instagram • LinkedIn • Bluesky More info: Complexity Explorer: Tutorial: Fundamentals of Machine Learning Lecture: Artificial Intelligence SFI programs: Education Books: Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell Words, Thoughts and Theories by Alison Gopnik and Andrew N. Meltzoff The Scientist in the Crib: Minds, Brains, and How Children Learn by Alison Gopnik, Andrew N. Meltzoff, and Patricia K. Kuhl The Philosophical Baby: What Children's Minds Tell Us About Truth, Love, and the Meaning of Life by Alison Gopnik The Gardener and the Carpenter: What the New Science of Child Development Tells Us About the Relationship Between Parents and Children by Alison Gopnik Talks: The Future of Artificial Intelligence by Melanie Mitchell Imitation Versus Innovation: What Children Can Do That Large Langauge Models’ Can’t by Alison Gopnik The Minds of Children by Alison Gopnik What Understanding Adds to Cambrian Intelligence: A Taxonomy by John Krakauer Papers & Articles: “Why you can’t make a computer that feels pain,” by Daniel C. Dennett “Transmission versus truth, imitation versus innovation: What children can do that Large Language and Language-and-Vision models cannot (yet),” in Perspectives on Psychological Science (October 26, 2023), doi.org/10.1177/17456916231201401 “Empowerment as Causal Learning, Causal Learning as Empowerment: A bridge between Bayesian causal hypothesis testing and reinforcement learning,” by Alison Gopnik “What can AI Learn from Human Exploration? Intrinsically-Motivated Humans and Agents in Open-World Exploration” by Yuqing Du et al, for Workshop: Agent Learning in Open-Endedness Workshop, NeurIPS 2024 conference “Two views on the cognitive brain,” by David L. Barack & John W. Krakauer, Perspectives in Nature Reviews Neuroscience Vol 22 (April 15, 2021) “The intelligent reflex,” by John W. Krakauer, Philosophical Psychology (May 23, 2019), doi.org/10.1080/09515089.2019.1607281 “Representation in Cognitive Science by Nicholas Shea: But Is It Thinking? The Philosophy of Representation Meets Systems Neuroscience” by John W. Krakauer
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