The Evolution Of Complexity


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The Evolution of Complexity by Means of Natural Selection


The Evolution of Complexity by Means of Natural Selection

Author: John Tyler Bonner

language: en

Publisher: Princeton University Press

Release Date: 1988-08-21


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Bonner makes a new attack on an old problem: the question of how progressive increase in the size and complexity of animals and plants has occurred. The book shows how an understanding of the grand course of evolution can come from combining our knowledge of genetics, development, ecology, and even behavior. *Lightning Print On Demand Title

The Engine of Complexity


The Engine of Complexity

Author: John E. Mayfield

language: en

Publisher: Columbia University Press

Release Date: 2013-07-09


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The concepts of evolution and complexity theory have become part of the intellectual ether permeating the life sciences, the social and behavioral sciences, and, more recently, management science and economics. In this book, John E. Mayfield elegantly synthesizes core concepts from multiple disciplines to offer a new approach to understanding how evolution works and how complex organisms, structures, organizations, and social orders can and do arise based on information theory and computational science. Intended for the intellectually adventuresome, this book challenges and rewards readers with a nuanced understanding of evolution and complexity that offers consistent, durable, and coherent explanations for major aspects of our life experiences. Numerous examples throughout the book illustrate evolution and complexity formation in action and highlight the core function of computation lying at the work's heart.

How the Leopard Changed Its Spots


How the Leopard Changed Its Spots

Author: Brian Goodwin

language: en

Publisher: Princeton University Press

Release Date: 2020-09-01


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Do genes explain life? Can advances in evolutionary and molecular biology account for what we look like, how we behave, and why we die? In this powerful intervention into current biological thinking, Brian Goodwin argues that such genetic reductionism has important limits. Drawing on the sciences of complexity, the author shows how an understanding of the self-organizing patterns of networks is necessary for making sense of nature. Genes are important, but only as part of a process constrained by environment, physical laws, and the universal tendencies of complex adaptive systems. In a new preface for this edition, Goodwin reflects on the advances in both genetics and the sciences of complexity since the book's original publication.