Tag: Evolutionary Informatics Lab
Peer-Reviewed Paper Successfully Measures Specified Complexity in Computer Images
“Is information being created when we snap a picture of Niagara Falls?”
Peer-Reviewed Scientific Paper Develops New Ways of Measuring Complex and Specified Information in Life
The “Game of Life” is a computer simulation that’s meant to mimic living systems.
Research by Dembski and Marks Makes Inroads in Technical Literature
Intelligent design is making unmistakable progress in mainstream scientific thinking. Here’s an example from a new paper in the journal of Soft Computing.
Peer-Reviewed Science: There Isn’t “Plenty of Time for Evolution”
Once again, the Evolutionary Informatics Lab has shown that simulations of evolution seem to work only because they’ve been intelligently designed.
William Dembski and Robert Marks Publish (Another) Peer-Reviewed Scientific Paper Supporting No Free Lunch Theorems
A peer-reviewed scientific paper published in 2010 by William Dembski and Robert Marks of the Evolutionary Informatics Lab supports no free lunch theorems. Published in Journal of Advanced Computational Intelligence and Intelligent Informatics and titled “The Search for a Search: Measuring the Information Cost of Higher Level Search,” the paper’s abstract states that unless one has information about a target, search engines often fail: “Needle-in-the-haystack problems look for small targets in large spaces. In such cases, blind search stands no hope of success.” Their principle of Conservation of Information holds that “any search technique will work, on average, as well as blind search.” However, in such a case “[s]uccess requires an assisted search. But whence the assistance required for a Read More ›