IDTF-thumbnail
IDTF-thumbnail
ID the Future Intelligent Design, Evolution, and Science Podcast
Episodes
Share
Facebook
Twitter
LinkedIn
Flipboard
Print
arroba Email

Algorithmic Specified Complexity Part III: Measuring Meaning in Images

Episode
905
Guest
Winston Ewert
Duration
00:20:00
Download
Audio File (27.5 mb)
Share
Facebook
Twitter
LinkedIn
Flipboard
Print
arroba Email

On this episode of ID The Future, Robert Marks and Winston Ewert, both of the Evolutionary Informatics Lab, discuss three of their recently published papers dealing with evolutionary informatics, algorithmic specified complexity and how information makes evolution work.

In this, the third and final podcast of the series, Dr. Winston Ewert explains the role of context in measuring meaning in images. A non-humanoid gelatinous alien would assign no meaning to the faces on Mount Rushmore if the alien had never before seen a humanoid. Humans, on the other hand, have the context of familiarity with human heads and historical figures that allow them to assxign high algorithmic specified complexity when viewing Mount Rushmore. Information theoretic-based algorithmic specified complexity applied to images is developed in the peer-reviewed archival journal article:

Winston Ewert, William A. Dembski, Robert J. Marks II. “Measuring meaningful information in images: algorithmic specified complexity,” IET Computer Vision, 2015, Vol. 9, #6, pp. 884–894 DOI: 10.1109/TSMC.2014.2331917

The paper is available online at: https://robertmarks.org/REPRINTS/2015%20Measuring%20meaningful%20information%20in%20images.pdf

Winston Ewert

Senior Fellow, Senior Research Scientist, Software Engineer
Winston Ewert is a software engineer, intelligent design researcher, and Senior Fellow of Discovery Institute's Walter Bradley Center on Natural and Artificial Intelligence. He received his Bachelor of Science Degree in Computer Science from Trinity Western University, a Master’s Degree from Baylor University in Computer Science, and a PhD from Baylor University in Electrical and Computer Engineering. His specializes in computer simulations of evolution, specified complexity, information theory, and the common design of genomes. He is a Senior Research Scientist at Biologic Institute, a Senior Researcher at the Evolutionary Informatics Lab, and a Fellow of the Bradley Center.
Tags
specified complexity