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Algorithmic Specified Complexity: Genesis

Jonathan Witt
Photo: Winston Ewert teaching at the Summer Seminar on Intelligent Design.

On a classic episode of ID the Future, Robert J. Marks and Winston Ewert, both of the Evolutionary Informatics Lab, discuss three of their papers written with design theorist William Dembski. Download the podcast or listen to it here.

The focus here is evolutionary informatics, algorithmic specified complexity, and information theory as it relates to biology and evolutionary theory. Ewert discusses the mathematical foundation for why we know Mount Rushmore is designed in a way that Mount Fuji isn’t. In particular he explains a recent advance in information theory, the theory of algorithmic specified complexity. Also in the conversation: snowflakes and … poker. To find all three papers under discussion, and more on the topic, jump over to the Evolutionary Informatics website.

Jonathan Witt

Executive Editor, Discovery Institute Press and Senior Fellow, Center for Science and Culture
Jonathan Witt, PhD, is Executive Editor of Discovery Institute Press and a senior fellow and senior project manager with Discovery Institute’s Center for Science and Culture. His latest book is Heretic: One Scientist’s Journey from Darwin to Design (DI Press, 2018) written with Finnish bioengineer Matti Leisola. Witt has also authored co-authored Intelligent Design Uncensored, A Meaningful World: How the Arts and Sciences Reveal the Genius of Nature, and The Hobbit Party: The Vision of Freedom That Tolkien Got, and the West Forgot. Witt is the lead writer and associate producer for Poverty, Inc., winner of the $100,000 Templeton Freedom Award and recipient of over 50 international film festival honors.

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algorithmic specified complexitybiologyevolutionary informaticsEvolutionary Informatics Labevolutionary theoryID the Futureinformation theoryMount FujiMount RushmorepodcastpokerRobert J. MarkssnowflakesWilliam DembskiWinston Ewert