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English | 2022 | ISBN: 9811250367 | 329 pages | True PDF EPUB | 14.59 MB
This highly interdisciplinary book discusses the phenomenon of life, including its origin and evolution, against the background of thermodynamics, statistical mechanics, and information theory. Among the central themes is the seeming contradiction between the second law of thermodynamics and the high degree of order and complexity produced by living systems. As the author shows, this paradox has its resolution in the information content of the Gibbs free energy that enters the biosphere from outside sources. Another focus of the book is the role of information in human cultural evolution, which is also discussed with the origin of human linguistic abilities. One of the final chapters addresses the merging of information technology and biotechnology into a new discipline - bioinformation technology.This third edition has been updated to reflect the latest scientific and technological advances. Professor Avery makes use of the perspectives of famous scholars such as Professor Noam Chomsky and Nobel Laureates John O'Keefe, May-Britt Moser and Edward Moser to cast light on the evolution of human languages. The mechanism of cell differentiation, and the rapid acceleration of information technology in the 21st century are also discussed.With various research disciplines becoming increasingly interrelated today, Information Theory and Evolution provides nuance to the conversation between bioinformatics, information technology, and pertinent social-political issues. This book is a welcome voice in working on the future challenges that humanity will face as a result of scientific and technological progress.
Contents:
Pioneers of Evolutionary ThoughtCharles Darwin's Life and WorkMolecular Biology and EvolutionStatistical Mechanics and InformationInformation Flow in BiologyCultural Evolution and InformationInformation TechnologyPathfindingThe Evolution of Human LanguagesThe Mechanism of Cell DifferentiationBio-Information TechnologyLooking Towards the FutureAppendix A: Entropy And InformationAppendix B: BiosemioticsAppendix C: Entropy And EconomicsIndex
Readership:General readers interested in the intersection between information theory and evolution, undergraduates of physics and biology, researchers in bioinformatics.
