"Explaining how evolution can account for the complexity of life is a significant question in biology. Whether or not complexity increases, what the mechanisms are that fuel this growth, and indeed even how we define complexity are difficult questions. In this book Christoph Adami draws on two strands of research - experimental evolution and information theory - to forward a mathematical theory that accounts for the evolution of complexity. While accounting for complexity is his primary goal, Adami also argues that information theory can do more for biology than just provide for a measure of complexity. As he argues, everything in biology uses information in one form or another, be it for communication (between cells, or organisms) or for prediction (via molecular as well as neural circuits). As a consequence, we can think of information theory as the unifying framework that allows us to understand complex systems, with biological life being only the prime example"--"An argument that information is the unifying principle that allows us to understand the evolution of complexity in natureMore than 150 years after Darwins revolutionary On the Origin of Species, we are still attempting to understand and explain the amazing complexity of life. Although we now know how evolution proceeds to build complexity from simple ingredients, quantifying this complexity is still a difficult undertaking. In this book, Christoph Adami offers a new perspective on Darwinian evolution by viewing it through the lens of information theory.

This novel theoretical stance sheds light on such matters as how viruses evolve drug resistance, how cells evolve to communicate, and how intelligence evolves. By this account, information emerges as the central unifying principle behind all of biology, allowing us to think about the origin of life-on Earth and elsewhere-in a principled manner.Adami, a leader in the field of computational biology, first provides an accessible introduction to the information theory of biomolecules and then shows how to apply these tools to measure information stored in genetic sequences and proteins. After outlining the experimental evidence of the evolution of information in both bacteria and digital organisms, he describes the evolution of robustness in viruses; the cooperation among cells, animals, and people; and the evolution of brains and intelligence. Building on extensive prior work in bacterial and digital evolution, Adami establishes that (expanding on Dobzhanskys famous remark) nothing in biology makes sense except in the light of information. Understanding that information is the foundation of all life, he argues, allows us to see beyond the particulars of our way of life to glimpse what life might be like in other worlds"--.