Modelling Evolution

Author : Eugene Earnshaw-Whyte
Publisher : Routledge
Page : 252 pages
File Size : 49,7 Mb
Release : 2018-07-06
Category : Philosophy
ISBN : 9781315294032

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Modelling Evolution by Eugene Earnshaw-Whyte Pdf

Evolution by natural selection explains the tree of life and the complex adaptations found throughout nature. The power and versatility of evolutionary explanations have proved tempting to scientists outside of biology, but adapting evolutionary concepts to new domains has been challenging. Even within biology, there are many difficult questions and problem cases that face evolutionary theory. Modelling Evolution offers a new, general account of evolution by natural selection that identifies the essential features of evolutionary models that transcend any particular discipline. Evolution by natural selection in its broad sense is the systemic advantage of a type, in contrast to the narrow definition using heritable variation in fitness. This account is explained, contextualised and applied to a variety of questions in both biology and the social sciences. Offering an accessible and comprehensive account of evolution that is applicable both to biology and the broader social sciences, Modelling Evolution will appeal to students and researchers interested in fields such as biology, economics, sociology, history, and psychology.

Author : Sarah P. Otto,Troy Day
Publisher : Princeton University Press
Page : 745 pages
File Size : 49,5 Mb
Release : 2011-09-19
Category : Science
ISBN : 9781400840915

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A Biologist's Guide to Mathematical Modeling in Ecology and Evolution by Sarah P. Otto,Troy Day Pdf

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

Author : Richard McElreath,Robert Boyd
Publisher : University of Chicago Press
Page : 430 pages
File Size : 47,9 Mb
Release : 2008-09-15
Category : Social Science
ISBN : 9780226558288

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Mathematical Models of Social Evolution by Richard McElreath,Robert Boyd Pdf

Over the last several decades, mathematical models have become central to the study of social evolution, both in biology and the social sciences. But students in these disciplines often seriously lack the tools to understand them. A primer on behavioral modeling that includes both mathematics and evolutionary theory, Mathematical Models of Social Evolution aims to make the student and professional researcher in biology and the social sciences fully conversant in the language of the field. Teaching biological concepts from which models can be developed, Richard McElreath and Robert Boyd introduce readers to many of the typical mathematical tools that are used to analyze evolutionary models and end each chapter with a set of problems that draw upon these techniques. Mathematical Models of Social Evolution equips behaviorists and evolutionary biologists with the mathematical knowledge to truly understand the models on which their research depends. Ultimately, McElreath and Boyd’s goal is to impart the fundamental concepts that underlie modern biological understandings of the evolution of behavior so that readers will be able to more fully appreciate journal articles and scientific literature, and start building models of their own.

Author : Eugene Earnshaw-Whyte
Publisher : Routledge
Page : 145 pages
File Size : 41,7 Mb
Release : 2018-07-06
Category : Philosophy
ISBN : 9781315294049

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Modelling Evolution by Eugene Earnshaw-Whyte Pdf

Evolution by natural selection explains the tree of life and the complex adaptations found throughout nature. The power and versatility of evolutionary explanations have proved tempting to scientists outside of biology, but adapting evolutionary concepts to new domains has been challenging. Even within biology, there are many difficult questions and problem cases that face evolutionary theory. Modelling Evolution offers a new, general account of evolution by natural selection that identifies the essential features of evolutionary models that transcend any particular discipline. Evolution by natural selection in its broad sense is the systemic advantage of a type, in contrast to the narrow definition using heritable variation in fitness. This account is explained, contextualised and applied to a variety of questions in both biology and the social sciences. Offering an accessible and comprehensive account of evolution that is applicable both to biology and the broader social sciences, Modelling Evolution will appeal to students and researchers interested in fields such as biology, economics, sociology, history, and psychology.

Author : Cedric Chauve,Nadia El-Mabrouk,Eric Tannier
Publisher : Springer Science & Business Media
Page : 328 pages
File Size : 45,7 Mb
Release : 2013-09-17
Category : Computers
ISBN : 9781447152989

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Models and Algorithms for Genome Evolution by Cedric Chauve,Nadia El-Mabrouk,Eric Tannier Pdf

This authoritative text/reference presents a review of the history, current status, and potential future directions of computational biology in molecular evolution. Gathering together the unique insights of an international selection of prestigious researchers, this must-read volume examines the latest developments in the field, the challenges that remain, and the new avenues emerging from the growing influx of sequence data. These viewpoints build upon the pioneering work of David Sankoff, one of the founding fathers of computational biology, and mark the 50th anniversary of his first scientific article. The broad spectrum of rich contributions in this essential collection will appeal to all computer scientists, mathematicians and biologists involved in comparative genomics, phylogenetics and related areas.

Author : John Krogstie
Publisher : Springer Science & Business Media
Page : 452 pages
File Size : 50,8 Mb
Release : 2012-05-17
Category : Computers
ISBN : 9781447129363

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Model-Based Development and Evolution of Information Systems by John Krogstie Pdf

This book introduces and describes in detail the SEQUAL framework for understanding the quality of models and modeling languages, including the numerous specializations of the generic framework, and the various ways in which this can be used for different applications. Topics and features: contains case studies, chapter summaries, review questions, problems and exercises throughout the text, in addition to Appendices on terminology and abbreviations; presents a thorough introduction to the most important concepts in conceptual modeling, including the underlying philosophical outlook on the quality of models; describes the basic tasks and model types in information systems development and evolution, and the main methodologies for mixing different phases of information system development; provides an overview of the general mechanisms and perspectives used in conceptual modeling; predicts future trends in technological development, and discusses how the role of modeling can be envisaged in this landscape.

Author : Étienne Pardoux
Publisher : Springer
Page : 125 pages
File Size : 46,6 Mb
Release : 2016-06-17
Category : Mathematics
ISBN : 9783319303284

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Probabilistic Models of Population Evolution by Étienne Pardoux Pdf

This expository book presents the mathematical description of evolutionary models of populations subject to interactions (e.g. competition) within the population. The author includes both models of finite populations, and limiting models as the size of the population tends to infinity. The size of the population is described as a random function of time and of the initial population (the ancestors at time 0). The genealogical tree of such a population is given. Most models imply that the population is bound to go extinct in finite time. It is explained when the interaction is strong enough so that the extinction time remains finite, when the ancestral population at time 0 goes to infinity. The material could be used for teaching stochastic processes, together with their applications. Étienne Pardoux is Professor at Aix-Marseille University, working in the field of Stochastic Analysis, stochastic partial differential equations, and probabilistic models in evolutionary biology and population genetics. He obtained his PhD in 1975 at University of Paris-Sud.

Author : Michael John Welch,Mikael Lüthje,Simon John Oldfield
Publisher : Springer Nature
Page : 237 pages
File Size : 51,7 Mb
Release : 2020-09-18
Category : Technology & Engineering
ISBN : 9783030524142

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Modelling the Evolution of Natural Fracture Networks by Michael John Welch,Mikael Lüthje,Simon John Oldfield Pdf

This book presents and describes an innovative method to simulate the growth of natural fractural networks in different geological environments, based on their geological history and fundamental geomechanical principles. The book develops techniques to simulate the growth and interaction of large populations of layer-bound fracture directly, based on linear elastic fracture mechanics and subcritical propagation theory. It demonstrates how to use these techniques to model the nucleation, propagation and interaction of layer-bound fractures in different orientations around large scale geological structures, based on the geological history of the structures. It also explains how to use these techniques to build more accurate discrete fracture network (DFN) models at a reasonable computational cost. These models can explain many of the properties of natural fracture networks observed in outcrops, using actual outcrop examples. Finally, the book demonstrates how it can be incorporated into flow modelling workflows using subsurface examples from the hydrocarbon and geothermal industries. Modelling the Evolution of Natural Fracture Networks will be of interest to anyone curious about understanding and predicting the evolution of complex natural fracture networks across large geological structures. It will be helpful to those modelling fluid flow through fractures, or the geomechanical impact of fracture networks, in the hydrocarbon, geothermal, CO2 sequestration, groundwater and engineering industries.

Author : Eugene Earnshaw
Publisher : Unknown
Page : 128 pages
File Size : 45,9 Mb
Release : 2018
Category : Evolution (Biology)
ISBN : 1315294052

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Modelling Evolution by Eugene Earnshaw Pdf

Author : Derek A. Roff
Publisher : Oxford University Press
Page : 464 pages
File Size : 43,5 Mb
Release : 2010
Category : Computers
ISBN : 9780199571147

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Modeling Evolution by Derek A. Roff Pdf

Computer modeling is now an integral part of research in evolutionary biology. This book outlines how evolutionary questions are formulated and how, in practice, they can be resolved by analytical and numerical methods.

Author : Alberto Acerbi,Alex Mesoudi,Marco Smolla
Publisher : Unknown
Page : 0 pages
File Size : 40,8 Mb
Release : 2022
Category : R (Computer program language)
ISBN : 1032252073

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Individual-based Models of Cultural Evolution by Alberto Acerbi,Alex Mesoudi,Marco Smolla Pdf

Individual-Based Models of Cultural Evolution shows readers how to create individual-based models of cultural evolution using the programming language R. The field of cultural evolution has emerged in the last few decades as a thriving, interdisciplinary effort to understand cultural change and cultural diversity within an evolutionary framework and using evolutionary tools, concepts, and methods. Given its roots in evolutionary biology, much of cultural evolution is grounded in, or inspired by, formal models. Yet many researchers interested in cultural evolution come from backgrounds that lack training in formal modelling, such as psychology, anthropology or archaeology. This book addresses that gap. It provides example code in R for readers to run their own models, moving from very simple models of the basic processes of cultural evolution, such as biased transmission and cultural mutation, to more advanced topics such as the evolution of social learning, demographic effects, and social network analysis. Features of this book: Recreates existing models in the literature to show how these were created and to enable readers to have a better understanding of their significance and how to apply them to their own research questions Provides full R code to realize models and analyse and plot outputs, with line-by-line analysis Requires no previous knowledge of the field of cultural evolution, and only very basic programming knowledge This is an essential resource for researchers and students interested in cultural evolution, including disciplines such as psychology, anthropology, archaeology, and biology as well as sociology and digital humanities.

Author : Steffen Kruse
Publisher : BoD – Books on Demand
Page : 278 pages
File Size : 47,6 Mb
Release : 2015-08-03
Category : Computers
ISBN : 9783738628944

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Co-Evolution of Metamodels and Model Transformations by Steffen Kruse Pdf

Complexity is an essential property of software systems that increases in a non-linear fashion with the size of the software system. In software engineering, Model Driven Engineering (MDE) aims to alleviate this complexity by utilising models and modelling activities to raise the level of abstraction and to automate the production of artefacts. One specialised technique with this purpose is the model transformation, which allows the automated creation and modification of output models based on input models. As models and model transformations are used in a productive capacity, they underlie the same evolutionary pressure that conventionally build software systems do. Here the tight coupling between model transformations and metamodels becomes problematic, as changing the one often results in the need to check and adapt the other accordingly. This thesis presents an operator-based, stepwise approach to support software architects in the co-evolution of metamodels and model transformations. The approach allows the description of changes done to a metamodel and the automatic or semi-automatic resolution of the impact on related model transformations. Overall the effort needed for co-evolution is reduced.

Author : Stanton Braude,Bobbi S. Low
Publisher : Princeton University Press
Page : 288 pages
File Size : 43,5 Mb
Release : 2010-01-04
Category : Science
ISBN : 9781400835454

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An Introduction to Methods and Models in Ecology, Evolution, and Conservation Biology by Stanton Braude,Bobbi S. Low Pdf

An innovative introduction to ecology and evolution This unique textbook introduces undergraduate students to quantitative models and methods in ecology, behavioral ecology, evolutionary biology, and conservation. It explores the core concepts shared by these related fields using tools and practical skills such as experimental design, generating phylogenies, basic statistical inference, and persuasive grant writing. And contributors use examples from their own cutting-edge research, providing diverse views to engage students and broaden their understanding. This is the only textbook on the subject featuring a collaborative "active learning" approach that emphasizes hands-on learning. Every chapter has exercises that enable students to work directly with the material at their own pace and in small groups. Each problem includes data presented in a rich array of formats, which students use to answer questions that illustrate patterns, principles, and methods. Topics range from Hardy-Weinberg equilibrium and population effective size to optimal foraging and indices of biodiversity. The book also includes a comprehensive glossary. In addition to the editors, the contributors are James Beck, Cawas Behram Engineer, John Gaskin, Luke Harmon, Jon Hess, Jason Kolbe, Kenneth H. Kozak, Robert J. Robertson, Emily Silverman, Beth Sparks-Jackson, and Anton Weisstein. Provides experience with hypothesis testing, experimental design, and scientific reasoning Covers core quantitative models and methods in ecology, behavioral ecology, evolutionary biology, and conservation Turns "discussion sections" into "thinking labs" Professors: A supplementary Instructor's Manual is available for this book. It is restricted to teachers using the text in courses. For information on how to obtain a copy, refer to: http://press.princeton.edu/class_use/solutions.html

Author : Rick Durrett
Publisher : Springer Science & Business Media
Page : 246 pages
File Size : 50,9 Mb
Release : 2013-03-09
Category : Mathematics
ISBN : 9781475762853

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Probability Models for DNA Sequence Evolution by Rick Durrett Pdf

"What underlying forces are responsible for the observed patterns of variability, given a collection of DNA sequences?" In approaching this question a number of probability models are introduced and anyalyzed.Throughout the book, the theory is developed in close connection with data from more than 60 experimental studies that illustrate the use of these results.

Author : Gina M. Cannarozzi,Adrian Schneider
Publisher : Oxford University Press
Page : 297 pages
File Size : 40,5 Mb
Release : 2012-02-23
Category : Mathematics
ISBN : 9780199601165

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Codon Evolution by Gina M. Cannarozzi,Adrian Schneider Pdf

The second part of the book focuses on codon usage bias.