Information theory, evolutionary computation, and Dembski’s “complex specified information”

  title={Information theory, evolutionary computation, and Dembski’s “complex specified information”},
  author={W. Elsberry and Jeffrey Shallit},
Intelligent design advocate William Dembski has introduced a measure of information called “complex specified information”, or CSI. He claims that CSI is a reliable marker of design by intelligent agents. He puts forth a “Law of Conservation of Information” which states that chance and natural laws are incapable of generating CSI. In particular, CSI cannot be generated by evolutionary computation. Dembski asserts that CSI is present in intelligent causes and in the flagellum of Escherichia coli… 


Any discussions on the possibilities of design interventions in nature should be articulated in terms of the algorithmic information theory approach to randomness and its robust decision process, as no implementable randomness test is superior to a universal Martin-Lof test.

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