The Evolving World

The Evolving World PDF Author: David P. Mindell
Publisher: Harvard University Press
ISBN: 0674041089
Category : Science
Languages : en
Pages : 352

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Book Description
In the 150 years since Darwin, evolutionary biology has proven as essential as it is controversial, a critical concept for answering questions about everything from the genetic code and the structure of cells to the reproduction, development, and migration of animal and plant life. But today, as David P. Mindell makes undeniably clear in The Evolving World, evolutionary biology is much more than an explanatory concept. It is indispensable to the world we live in. This book provides the first truly accessible and balanced account of how evolution has become a tool with applications that are thoroughly integrated, and deeply useful, in our everyday lives and our societies, often in ways that we do not realize. When we domesticate wild species for agriculture or companionship; when we manage our exposure to pathogens and prevent or control epidemics; when we foster the diversity of species and safeguard the functioning of ecosystems: in each of these cases, Mindell shows us, evolutionary biology applies. It is at work when we recognize that humans represent a single evolutionary family with variant cultures but shared biological capabilities and motivations. And last but not least, we see here how evolutionary biology comes into play when we use knowledge of evolution to pursue justice within the legal system and to promote further scientific discovery through education and academic research. More than revealing evolution's everyday uses and value, The Evolving World demonstrates the excitement inherent in its applications--and convinces us as never before that evolutionary biology has become absolutely necessary for human existence.

The Evolving World

The Evolving World PDF Author: David P. Mindell
Publisher: Harvard University Press
ISBN: 0674041089
Category : Science
Languages : en
Pages : 352

Get Book Here

Book Description
In the 150 years since Darwin, evolutionary biology has proven as essential as it is controversial, a critical concept for answering questions about everything from the genetic code and the structure of cells to the reproduction, development, and migration of animal and plant life. But today, as David P. Mindell makes undeniably clear in The Evolving World, evolutionary biology is much more than an explanatory concept. It is indispensable to the world we live in. This book provides the first truly accessible and balanced account of how evolution has become a tool with applications that are thoroughly integrated, and deeply useful, in our everyday lives and our societies, often in ways that we do not realize. When we domesticate wild species for agriculture or companionship; when we manage our exposure to pathogens and prevent or control epidemics; when we foster the diversity of species and safeguard the functioning of ecosystems: in each of these cases, Mindell shows us, evolutionary biology applies. It is at work when we recognize that humans represent a single evolutionary family with variant cultures but shared biological capabilities and motivations. And last but not least, we see here how evolutionary biology comes into play when we use knowledge of evolution to pursue justice within the legal system and to promote further scientific discovery through education and academic research. More than revealing evolution's everyday uses and value, The Evolving World demonstrates the excitement inherent in its applications--and convinces us as never before that evolutionary biology has become absolutely necessary for human existence.

Evolution Evolving

Evolution Evolving PDF Author: Kevin N. Lala
Publisher: Princeton University Press
ISBN: 0691262403
Category : Science
Languages : en
Pages : 440

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Book Description
A new account of the central role developmental processes play in evolution A new scientific view of evolution is emerging—one that challenges and expands our understanding of how evolution works. Recent research demonstrates that organisms differ greatly in how effective they are at evolving. Whether and how each organism adapts and diversifies depends critically on the mechanistic details of how that organism operates—its development, physiology, and behavior. That is because the evolutionary process itself has evolved over time, and continues to evolve. The scientific understanding of evolution is evolving too, with groundbreaking new ways of explaining evolutionary change. In this book, a group of leading biologists draw on the latest findings in evolutionary genetics and evo-devo, as well as novel insights from studies of epigenetics, symbiosis, and inheritance, to examine the central role that developmental processes play in evolution. Written in an accessible style, and illustrated with fascinating examples of natural history, the book presents recent scientific discoveries that expand evolutionary biology beyond the classical view of gene transmission guided by natural selection. Without undermining the central importance of natural selection and other Darwinian foundations, new developmental insights indicate that all organisms possess their own characteristic sets of evolutionary mechanisms. The authors argue that a consideration of developmental phenomena is needed for evolutionary biologists to generate better explanations for adaptation and biodiversity. This book provides a new vision of adaptive evolution.

Mankind Evolving

Mankind Evolving PDF Author: Theodosius Grigorievich Dobzhansky
Publisher:
ISBN: 9780758100191
Category :
Languages : en
Pages : 381

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Book Description


Grammatical Evolution

Grammatical Evolution PDF Author: Michael O'Neill
Publisher: Springer Science & Business Media
ISBN: 1461504473
Category : Computers
Languages : en
Pages : 157

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Book Description
Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language provides the first comprehensive introduction to Grammatical Evolution, a novel approach to Genetic Programming that adopts principles from molecular biology in a simple and useful manner, coupled with the use of grammars to specify legal structures in a search. Grammatical Evolution's rich modularity gives a unique flexibility, making it possible to use alternative search strategies - whether evolutionary, deterministic or some other approach - and to even radically change its behavior by merely changing the grammar supplied. This approach to Genetic Programming represents a powerful new weapon in the Machine Learning toolkit that can be applied to a diverse set of problem domains.

Evolution Gone Wrong

Evolution Gone Wrong PDF Author: Alex Bezzerides
Publisher: Harlequin
ISBN: 1488075859
Category : Health & Fitness
Languages : en
Pages : 230

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Book Description
“An unforgettable journey through this twisted miracle of evolution we call ‘our body.’” —Spike Carlsen, author of A Walk Around the Block From blurry vision to crooked teeth, ACLs that tear at alarming rates and spines that seem to spend a lifetime falling apart, it’s a curious thing that human beings have beaten the odds as a species. After all, we’re the only survivors on our branch of the tree of life. The flaws in our makeup raise more than a few questions, and this detailed foray into the many twists and turns of our ancestral past includes no shortage of curiosity and humor to find the answers. Why is it that human mothers have such a life-endangering experience giving birth? Why are there entire medical specialties for teeth and feet? And why is it that human babies can’t even hold their heads up, but horses are trotting around minutes after they’re born? In this funny, wide-ranging and often surprising book, biologist Alex Bezzerides tells us just where we inherited our adaptable, achy, brilliant bodies in the process of evolution.

Advances in Evolutionary Computing

Advances in Evolutionary Computing PDF Author: Ashish Ghosh
Publisher: Springer Science & Business Media
ISBN: 9783540433309
Category : Computers
Languages : en
Pages : 1042

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Book Description
This book provides a collection of fourty articles containing new material on both theoretical aspects of Evolutionary Computing (EC), and demonstrating the usefulness/success of it for various kinds of large-scale real world problems. Around 23 articles deal with various theoretical aspects of EC and 17 articles demonstrate the success of EC methodologies. These articles are written by leading experts of the field from different countries all over the world.

Evolutionary Computation

Evolutionary Computation PDF Author: Wellington Santos
Publisher: BoD – Books on Demand
ISBN: 9533070080
Category : Computers
Languages : en
Pages : 586

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Book Description
This book presents several recent advances on Evolutionary Computation, specially evolution-based optimization methods and hybrid algorithms for several applications, from optimization and learning to pattern recognition and bioinformatics. This book also presents new algorithms based on several analogies and metafores, where one of them is based on philosophy, specifically on the philosophy of praxis and dialectics. In this book it is also presented interesting applications on bioinformatics, specially the use of particle swarms to discover gene expression patterns in DNA microarrays. Therefore, this book features representative work on the field of evolutionary computation and applied sciences. The intended audience is graduate, undergraduate, researchers, and anyone who wishes to become familiar with the latest research work on this field.

Applications of Evolutionary Computation

Applications of Evolutionary Computation PDF Author: Cecilia Di Chio
Publisher: Springer Science & Business Media
ISBN: 3642205194
Category : Computers
Languages : en
Pages : 542

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Book Description
This book constitutes the refereed proceedings of the International Conference on the Applications of Evolutionary Computation, EvoApplications 2011, held in Torino, Italy, in April 2011 colocated with the Evo* 2011 events. Thanks to the large number of submissions received, the proceedings for EvoApplications 2011 are divided across two volumes (LNCS 6624 and 6625). The present volume contains contributions for EvoCOMNET, EvoFIN, EvoIHOT, EvoMUSART, EvoSTIM, and EvoTRANSLOC. The 51 revised full papers presented were carefully reviewed and selected from numerous submissions. This volume presents an overview about the latest research in EC. Areas where evolutionary computation techniques have been applied range from telecommunication networks to complex systems, finance and economics, games, image analysis, evolutionary music and art, parameter optimization, scheduling, and logistics. These papers may provide guidelines to help new researchers tackling their own problem using EC.

Evolutionary Multi-Criterion Optimization

Evolutionary Multi-Criterion Optimization PDF Author: Shigeru Obayashi
Publisher: Springer
ISBN: 3540709282
Category : Computers
Languages : en
Pages : 972

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Book Description
This book constitutes the refereed proceedings of the 4th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2007, held in Matsushima, Japan in March 2007. The 65 revised full papers presented together with 4 invited papers are organized in topical sections on algorithm design, algorithm improvements, alternative methods, applications, engineering design, many objectives, objective handling, and performance assessments.

Genetic And Evolutionary Computation- GECCO 2004

Genetic And Evolutionary Computation- GECCO 2004 PDF Author: GECCO
Publisher: Springer Science & Business Media
ISBN: 3540223436
Category : Computers
Languages : en
Pages : 1485

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Book Description
The two volume set LNCS 3102/3103 constitutes the refereed proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2004, held in Seattle, WA, USA, in June 2004. The 230 revised full papers and 104 poster papers presented were carefully reviewed and selected from 460 submissions. The papers are organized in topical sections on artificial life, adaptive behavior, agents, and ant colony optimization; artificial immune systems, biological applications; coevolution; evolutionary robotics; evolution strategies and evolutionary programming; evolvable hardware; genetic algorithms; genetic programming; learning classifier systems; real world applications; and search-based software engineering.