On this ID The Future from the vault, Robert J. Marks and Winston Ewert, both of the Evolutionary Informatics Lab, continue their conversation about three of their recently published papers dealing with evolution, biological information, and what is known as algorithmic specified complexity. In this final podcast of the series, Dr. Ewert explains the role of context in measuring meaning in images. A non-humanoid gelatinous alien might assign no meaning to the faces on Mount Rushmore if the alien had never seen a humanoid. But humans, and especially humans familiar with major figures in American history, have the context to recognize that the carved shapes tightly match pre-existing patterns and therefore contain considerable algorithmic specified complexity. Ewert then applies all this to cases of high information complexity in biological systems, such as the bacterial flagellum. The focus of the conversation here is the journal article “Measuring Meaningful Information in Images: Algorithmic Specified Complexity,” by Ewert, Marks, and William Dembski.
On today’s ID the Future, Uncommon Knowledge’s Peter Robinson sits down with Michael Behe, John Lennox, and Stephen Meyer, three of the leading voices...
On this episode of ID the Future, Dr. Dominic Halsmer, Dean of the College of Science and Engineering at Oral Roberts University, shares how...
He's one of the most significant scientists of the 19th century, and his work laid the foundation for modern physics, quantum mechanics, and relativity....
