I previously raised an eyebrow at an editor of Springer’s “Intelligent Systems Reference Library,” in which the creationist volume Biological Information: New Perspectives (eds. Robert J. Marks II, Michael J. Behe, William A. Dembski, Bruce L. Gordon, and John C. Sanford) was scheduled to appear. The proceedings of the secret scientific symposium of scientists and “scientists”…
In the spring of 2011 a diverse group of scientists gathered at Cornell University with an eye on the major new principles that might be required to unravel the problem of biological information. These scientists included experts in information theory, computer science, numerical simulation, thermodynamics, evolutionary theory, whole organism biology, developmental biology, molecular biology, genetics, physics, biophysics, mathematics, and linguistics. Original scientific research was presented and discussed at this symposium, which was then written up, and constitute most of the twenty-four peer-edited papers in this volume.… (did I mention science?) that took place at, but not under the auspices of, Cornell University have migrated to World Scientific. You can read the volume online, free of charge.
The big surprise is that “Section Four: Biological Information and Self-Organizational Complexity Theory” comprises two dissenting papers, one by Stuart Kauffman (whose views on many things are similar to my own), and the other by Bruce H. Weber. Although editor Gordon is none too clear on the matter in his introduction to the section, it appears that Kauffman and Weber actually contributed to a previous secret meeting, the proceedings of which were never published.
Their involvement in this project traces back to a 2007 conference I organized in Boston under the auspices of the Discovery Institute’s Center for Science and Culture. The conference commemorated the famous 1967 Wistar Symposium on “Mathematical Challenges to the Neo-Darwinian Interpretation of Evolution.” [...] The general perception among the participants in the Boston symposium, as with the participants in the Cornell University conference giving rise to this compendium, is that the mathematical and biological challenges posed to the modern evolutionary synthesis (neo-Darwinism) have not been resolved, but actually have grown more acute as our knowledge of molecular biology, cell biology, developmental biology, and genetics has exploded.Gee, that sounds like “these guys are on our side.” But here’s the second half of Weber’s abstract:
Presently, however, there is ferment in the Darwinian Research Tradition as new knowledge from molecular and developmental biology, together with the deployment of complex systems dynamics, suggests that an expanded and extended evolutionary synthesis is possible, one that could be particularly robust in explaining the emergence of evolutionary novelties and even of life itself. Critics of Darwinism need to address such theoretical advances and not just respond to earlier versions of the research tradition.So Gordon contradicts Weber while trying to paint him as an ally. He makes a fine point of the inadequacy of the “modern evolutionary synthesis (neo-Darwinism),” which is hardly where Darwinian evolutionary theory stands today. Kauffman highlights in his abstract the essential reason that the information measures of Dembski and Marks go nowhere in biology.
Biological evolution rests on both quantum random and classical non-random natural selection and whole-part interactions that render the sample space of adjacent biological possibilities unknowable.I’ve heard him put it more simply: We don’t know the phase space. This means that it is impossible to assign probabilities to evolutionary trajectories. And taking logarithms of probabilities is how Dembski and Marks get information.
I wrote “scientists and ‘scientists’” above because only two of the five editors are scientists, and because engineers, computer scientists, and mathematicians have contributed heavily.
Unsurprisingly, about half of the “new perspectives” are variations on old themes of why evolution doesn’t work. John C. Sanford, a young-earth creationist who believes that genomes have been going to hell in a handbasket since the Fall of Man, authored seven of the papers and one of the section introductions. Dembski, Marks, Montañez and Ewert continue to bash evolutionary computation, including artificial life.
Jonathan Wells shocks us by reporting, “Not Junk After All: Non-Protein-Coding DNA Carries Extensive Biological Information.” Other papers show that the genetic code is fine-tuned, and furthermore that DNA sequences and computer code look much alike, with appropriate visualization. I’m sure there are other sensations to be found on closer inspection of the volume.