Peer-Reviewed Paper Successfully Measures Specified Complexity in Computer Images

A new peer-reviewed article in the journal IET Computer Vision, "Measuring meaningful information in images: algorithmic specified complexity," by Winston Ewert, William A. Dembski, and Robert J. Marks II, again attempts to apply the concept of algorithmic specified complexity (ASC) as a measure of meaning vs. randomness in a dataset. In a previous article I noted that the team at the Evolutionary Informatics Lab tried to apply algorithmic specified complexity (ASC) to successfully predict r...