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The book begins with familiar designs found all around and inside us (such as the ‘trees’ of river basins, human lungs, blood and city traffic). It then shows how all flow systems are driven by power from natural engines everywhere, and how they are endlessly shaped because of freedom. Finally, Professor Bejan explains how people, like everything else that moves on earth, are driven by power derived from our “engines” that consume fuel and food, and that our movement dissipates the power completely and changes constantly for greater access, economies of scale, efficiency, innovation and life. Written for wide audiences of all ages, including readers interested in science, patterns in nature, similarity and non-uniformity, history and the future, and those just interested in having fun with ideas, the book shows how many “design change” concepts acquire a solid scientific footing and how they exist with the evolution of nature, society, technology and science.
A pioneering proposal for a pluralistic extension of evolutionary theory, now updated to reflect the most recent research. This new edition of the widely read Evolution in Four Dimensions has been revised to reflect the spate of new discoveries in biology since the book was first published in 2005, offering corrections, an updated bibliography, and a substantial new chapter. Eva Jablonka and Marion Lamb's pioneering argument proposes that there is more to heredity than genes. They describe four “dimensions” in heredity—four inheritance systems that play a role in evolution: genetic, epigenetic (or non-DNA cellular transmission of traits), behavioral, and symbolic (transmission through language and other forms of symbolic communication). These systems, they argue, can all provide variations on which natural selection can act. Jablonka and Lamb present a richer, more complex view of evolution than that offered by the gene-based Modern Synthesis, arguing that induced and acquired changes also play a role. Their lucid and accessible text is accompanied by artist-physician Anna Zeligowski's lively drawings, which humorously and effectively illustrate the authors' points. Each chapter ends with a dialogue in which the authors refine their arguments against the vigorous skepticism of the fictional “I.M.” (for Ipcha Mistabra—Aramaic for “the opposite conjecture”). The extensive new chapter, presented engagingly as a dialogue with I.M., updates the information on each of the four dimensions—with special attention to the epigenetic, where there has been an explosion of new research. Praise for the first edition “With courage and verve, and in a style accessible to general readers, Jablonka and Lamb lay out some of the exciting new pathways of Darwinian evolution that have been uncovered by contemporary research.” —Evelyn Fox Keller, MIT, author of Making Sense of Life: Explaining Biological Development with Models, Metaphors, and Machines “In their beautifully written and impressively argued new book, Jablonka and Lamb show that the evidence from more than fifty years of molecular, behavioral and linguistic studies forces us to reevaluate our inherited understanding of evolution.” —Oren Harman, The New Republic “It is not only an enjoyable read, replete with ideas and facts of interest but it does the most valuable thing a book can do—it makes you think and reexamine your premises and long-held conclusions.” —Adam Wilkins, BioEssays
These six original essays focus on a potentially important aspect of evolutionary biology, the possible causal role of phenotypic behavior in evolution. Balancing theory with actual or potential empiricism, they provide the first full examination of this topic. Plotkin's opening chapter outlines the "conceptual minefields" that the contributors attempt to negotiate: What is an adequate theory of evolution? What is behavior and is it possible to maintain a distinction between behavior and other attributes of the phenotype? is all, or only a special subset, of behavior both a cause and a consequence of evolution? And what do the theoretical issues mean in empirical terms? He concludes that any attempt to understand the causal role of behavior in evolution requires a more complicated theoretical structure than that of orthodox neoDarwinism, a conceptualization of behavior as a distinctive set of phenotypic attributes, and the accumulation of more data. David L. Hull (Northwestern University) provides an alternative account of the evolutionary process by developing a hierarchy of replicators-interactors-lineages to replace the traditional one of genes-organisms-species. Robert N. Brandon (Duke University) also posits hierarchy as an appropriate architecture for the theoretical complexity needed to support an examination of the role of behavior in evolution. F. J. Odling-Smee (Brunei University) outlines a theoretical structure to encompass the behavior of phenotypes, concentrating on the unrestricted definition of behavior (everything that an animal does). The remaining chapters are as much concerned with evidence as with theory. Plotkin concentrates on a restricted definition of behavior (behavior that is a product of choosing intelligence), reviewing our empirical knowledge of how learning might influence evolution. R.I.M. Dunbar (University College, London) uses empirical studies of vertebrate social behavior to deal with the question of how the social systems, especially of primates, might have a causal role in species evolution. A Bradford Book
Since the 1980s there has been a renewed interest in attempts to introduce a sense of history into economic literature. In this text, the authors argue that it is not possible to explain a state of the world without first analyzing the processes that lead to that state.
This collection is the first to specifically address our current understanding of the evolution of human childhood, which in turn significantly affects our interpretations of the evolution of family formation, social organization, cultural transmission, cognition, ontogeny, and the physical and socioemotional needs of children. Moreover, the importance of studying the evolution of childhood has begun to extend beyond academic modeling and into real-world applications for maternal and child health and well-being in contemporary populations around the world. Combined, the chapters show that what we call childhood is culturally variable yet biologically based and has been critical to the evolutionary success of our species; the significance of integrating childhood into models of human life history and evolution cannot be overstated. This volume further demonstrates the benefits of interdisciplinary investigation and is sure to spur further interest in the field.
Everything you were taught about evolution is wrong.
Stuart Kauffman here presents a brilliant new paradigm for evolutionary biology, one that extends the basic concepts of Darwinian evolution to accommodate recent findings and perspectives from the fields of biology, physics, chemistry and mathematics. The book drives to the heart of the exciting debate on the origins of life and maintenance of order in complex biological systems. It focuses on the concept of self-organization: the spontaneous emergence of order that is widely observed throughout nature Kauffman argues that self-organization plays an important role in the Darwinian process of natural selection. Yet until now no systematic effort has been made to incorporate the concept of self-organization into evolutionary theory. The construction requirements which permit complex systems to adapt are poorly understood, as is the extent to which selection itself can yield systems able to adapt more successfully. This book explores these themes. It shows how complex systems, contrary to expectations, can spontaneously exhibit stunning degrees of order, and how this order, in turn, is essential for understanding the emergence and development of life on Earth. Topics include the new biotechnology of applied molecular evolution, with its important implications for developing new drugs and vaccines; the balance between order and chaos observed in many naturally occurring systems; new insights concerning the predictive power of statistical mechanics in biology; and other major issues. Indeed, the approaches investigated here may prove to be the new center around which biological science itself will evolve. The work is written for all those interested in the cutting edge of research in the life sciences.
Thirty years ago, biologists could get by with a rudimentary grasp of mathematics and modeling. Not so today. In seeking to answer fundamental questions about how biological systems function and change over time, the modern biologist is as likely to rely on sophisticated mathematical and computer-based models as traditional fieldwork. In this book, Sarah Otto and Troy Day provide biology students with the tools necessary to both interpret models and to build their own. The book starts at an elementary level of mathematical modeling, assuming that the reader has had high school mathematics and first-year calculus. Otto and Day then gradually build in depth and complexity, from classic models in ecology and evolution to more intricate class-structured and probabilistic models. The authors provide primers with instructive exercises to introduce readers to the more advanced subjects of linear algebra and probability theory. Through examples, they describe how models have been used to understand such topics as the spread of HIV, chaos, the age structure of a country, speciation, and extinction. Ecologists and evolutionary biologists today need enough mathematical training to be able to assess the power and limits of biological models and to develop theories and models themselves. This innovative book will be an indispensable guide to the world of mathematical models for the next generation of biologists. A how-to guide for developing new mathematical models in biology Provides step-by-step recipes for constructing and analyzing models Interesting biological applications Explores classical models in ecology and evolution Questions at the end of every chapter Primers cover important mathematical topics Exercises with answers Appendixes summarize useful rules Labs and advanced material available
First book to outline the fundamental principles of social evolution underlying the stunning diversity of social systems and behaviours.