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Biology as Information Dynamics

math.ucr.edu · 247 words · saved by 5 readers

In the video there's a typo which I fixed later in the slides: exp⁡(−kEi/T) should be exp⁡(−Ei/kT) . For more, read:

John Baez Biological Complexity: Can it be Quantified?, Beyond Center, February 2, 2017 Stanford Complexity Group, April 20, 2017 General Biology Seminar, Caltech, November 13, 2017 If biology is the study of self-replicating entities, and we want to understand the role of information, it makes sense to see how information theory is connected to the 'replicator equation' — a simple model of population dynamics for self-replicating entities. The relevant concept of information turns out to be the information of one probability distribution relative to another, also known as the…

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