DNA & Design Series by Dr Gasser Hathout
Lecture 18: Genetic Algorithms and the No Free Lunch Theorem. This lecture, the longest in the course, concludes the Information Enigma subseries. It examines the essential nature of information itself, asking questions like whether computer methods such as genetic algorithms can produce new information. The No Free Lunch Theorem of computer science is introduced as a motivation of the ideas of a “conservation of information” theory in physics.
This multi-lecture series takes an in depth look at DNA, the repository of genetic information, and makes the case that DNA speaks strongly for intelligent and deliberate design, and against a random origin of life on earth, which has been the prevalent dogma in the biological sciences. The series asserts that as we learn more about the structure and function of DNA, incorporating the advances of the last two decades, the stronger this case becomes. The series begins illustrating this paradigm—that advances in knowledge often overturn previously accepted dogmas – by looking at a macro issue where this has happened: the vertebrate retina. The series then moves to introduce the viewer to the genetic code and how it works, and tackles such issues as the optimality of the genetic code, the myth of junk DNA, the information enigma of DNA, and the “chicken-and-egg,” problem of DNA and proteins. All of this is done using primary scientific source literature, and numerous papers and books are referenced. If you love science, and are interested in how scientific advances make the case for the handiwork of a Divine Intellect, this series will be of interest to you.
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