EdgeCast

CHRIS ANDERSON is the CEO of 3D Robotics and founder of DIY Drones. He is the former editor-in-chief of Wired magazine. Chris Anderson's Edge Bio Page

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DAN SPERBER is a Paris-based social and cognitive scientist. He holds an emeritus research professorship at the French Centre National de la Recherche Scientifique (CNRS), Paris, and he is currently at Central European University, Budapest. He is the creator (with Deirdre Wilson) of "Relevance Theory," and coauthor (with Hugo Mercier) of The Enigma of Reason. Dan Sperber's Edge Bio Page

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STUART RUSSELL is a professor of computer science at UC Berkeley and coauthor (with Peter Norvig) of Artificial Intelligence: A Modern Approach. Stuart Russell's Edge Bio Page

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DAVID CHALMERS is University Professor of Philosophy and Neural Science and Co-Director of the Center for Mind, Brain, and Consciousness at New York University. He is also Distinguished Professor of Philosophy at the Australian National University. David Chalmers's Edge Bio Page

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BRIAN CHRISTIAN is the author of The Most Human Human: What Artificial Intelligence Teaches Us About Being Alive, and coauthor (with Tom Griffiths) of Algorithms to Live By: The Computer Science of Human Decisions. Brian Christian's Edge Bio Page

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LAURIE R. SANTOS is a professor of psychology at Yale University and the director of its Comparative Cognition Laboratory. Laurie Santos's Edge Bio Page

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DAVID RAND is an associate professor of psychology, economics, and management at Yale University, and the director of Yale University’s Human Cooperation Laboratory. David Rand's Edge Bio Page

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JUDEA PEARL, professor of computer science at UCLA, has been at the center of not one but two scientific revolutions. First, in the 1980s, he introduced a new tool to artificial intelligence called Bayesian networks. This probability-based model of machine reasoning enabled machines to function in a complex, ambiguous, and uncertain world. Within a few years, Bayesian networks completely overshadowed the previous rule-based approaches to artificial intelligence.

Leveraging the computational benefits of Bayesian networks, Pearl realized that the combination of simple graphical models and probability (as in Bayesian networks) could also be used to reason about cause-effect relationships. The significance of this discovery far transcends its roots in artificial intelligence. His principled, mathematical approach to causality has already benefited virtually every field of science and social science, and promises to do more when popularized.

He is the author of Heuristics; Probabilistic Reasoning in Intelligent Systems; and Causality: Models, Reasoning, and Inference. He is the winner of the Alan Turing Award. Judea Pearl's Edge Bio Page

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MONICA SMITH is a professor of anthropology at the University of California, Los Angeles. She holds the Navin and Pratima Doshi Chair in Indian Studies and serves as the director of the South Asian Archaeology Laboratory in the Cotsen Institute of Archaeology. Monica Smith's Edge Bio Page

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SETH LLOYD, Professor, Quantum Mechanical Engineering, MIT; Principal Investigator, Research Laboratory of Electronics; Author, Programming the Universe. The Conversation: https://www.edge.org/conversation/seth_lloyd-quantum-hanky-panky