Peer-Reviewed Article From the Evolutionary Informatics Lab

Dr. Robert Marks II and Dr. Bill Dembski, AITSE consortium members, are highly qualified mathematicians working as senior research scientists at the Evolutionary Informatics Lab. According to them, “Intelligent design is the study of patterns in nature best explained as the product of intelligence. So defined, intelligent design seems unproblematic.” However, “intelligent design, when applied to biology, seems to invoke ‘spooky’ forms of causation that have no place in science.”

“Evolutionary informatics eliminates this difficulty associated with intelligent design. By looking to information theory, a well-established branch of the engineering and mathematical sciences, evolutionary informatics shows that patterns we ordinarily ascribe to intelligence, when arising from an evolutionary process, must be referred to sources of information external to that process. Such sources of information may then themselves be the result of other, deeper evolutionary processes. But what enables these evolutionary processes in turn to produce such sources of information?

Evolutionary informatics demonstrates a regress of information sources. At no place along the way need there be a violation of ordinary physical causality. And yet, the regress implies a fundamental incompleteness in physical causality’s ability to produce the required information. Evolutionary informatics, while falling squarely within the information sciences, thus points to the need for an ultimate information source qua intelligent designer.”

Drs. Dembski and Marks recently published a fascinating peer-reviewed article claiming that, “average relative performance of searches never exceeds unassisted or blind searches,” and “the difficulty of searching for a successful search increases exponentially with respect to the minimum allowable active information being sought.” If you are mathematically inclined, all their articles are listed here!