The AntiEvolutionists: William A. Dembski

Dembski's home pages

Dembski Links

• Anti-Darwinian Commentary
• Chronology
• Complexity- Specification
• Complex Specified Information
• The Design Inference
• Evolutionary Algorithms
• The Explanatory Filter
• Intelligent Design Activism
• Intelligent Design, the book
• Mere Creation
• Michael Polanyi Center
• Naturalism vs. Supernaturalism
• No Free Lunch
• Specified Complexity
• Theology

Evolutionary Algorithms

• 2001/06/07: Effect of Ties on the Evolution of Information by the Ev program, by Tom Schneider. Schneider experimentally tests Dembski's claim that fine-tuning of code is necessary for the "ev" program to show an information increase. Results: Dembski's claim fails.

   

• 2001/06/07: Rebuttal to William A. Dembski's Posting, by Tom Schneider.

   

• 2001/06/05: MetaNexus post by William A. Dembski. Dembski critiques Tom Schneider's "ev" program as having "smuggled in" "complex specified information".

   

• 2000/11: Summary of talk titled "No Free Lunch" given by William A. Dembski at the 2000 Yale ID conference.

   

• EXPLAINING SPECIFIED COMPLEXITY. Article from "reiterations" mailing list.
  Commentary

   

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  • What Does "Intelligent Agency by Proxy" Do For the Design Inference? by Wesley R. Elsberry.

     

  • The "Algorithm Room": Can the "Design Inference" Catch a Cheater? A challenge to the Design Inference by Wesley R. Elsberry.

     

  • The intelligent design Filter Double Blind Test. Marty Fouts' challenge to claims that Dembski's EF produces no false positives.

     

  • 1999/09/13: W.R. Elsberry's CSI and Evolutionary Computation

     

  • Draft paper on objections to evolutionary computation by W.R. Elsberry.

     

  • ev : Evolution of Biological Information by Tom Schneider, Nucleic Acids Research, 28(14): 2794-2799, 2000. Not directly commenting upon Dembski, but it does directly contradict Dembski's claims concerning information increase via evolutionary computation.

   

• Specified Complexity. A follow-up essay to "Explaining Specified Complexity".

   

  Commentary

   

  • ID-Commentary: "Why Evolutionary Algorithms Cannot Generate Specified Complexity", by Morgan Grey.

     

  • Bait-and-switch in analysis, response by Wesley R. Elsberry.

     

  • Classification of Artificial Neural Systems: Is Stochasticity a Reliable Diagnostic Character? by Wesley R. Elsberry.

     

  • ev : Evolution of Biological Information by Tom Schneider, Nucleic Acids Research, 28(14): 2794-2799, 2000. Not directly commenting upon Dembski, but it does directly contradict Dembski's claims concerning information increase via evolutionary computation.
  Other Sites Related to Evolutionary Algorithms
  • Christoph Adami, Charles Ofria, and Travis C. Collier's Evolution of biological complexity, Proc. Natl. Acad. Sci. USA, Vol. 97, Issue 9, 4463-4468, April 25, 2000.

    To make a case for or against a trend in the evolution of complexity in biological evolution, complexity needs to be both rigorously defined and measurable. A recent information-theoretic (but intuitively evident) definition identifies genomic complexity with the amount of information a sequence stores about its environment. We investigate the evolution of genomic complexity in populations of digital organisms and monitor in detail the evolutionary transitions that increase complexity. We show that, because natural selection forces genomes to behave as a natural "Maxwell Demon," within a fixed environment, genomic complexity is forced to increase.