Draws on the languages of biology and mathematics to outline the mathematical principles according to which life evolves in an intriguing study that makes a clear and compelling case for understanding every living system in terms of evolutionary dynamics.
Exploring the Interplay of Selection, Accident, Neutrality, and Function
Author: James Patrick Crutchfield,Peter Schuster
Publisher: Oxford University Press, USA
This book presents a wide range of research on these cross-cutting topics. The workshop out of which they came brought together physicists and computer scientists, on the one hand, and molecular, developmental, and macro-evolutionary biologists, on the other. The dialogue that emerges from the collection as a whole sheds new light on the richness and difficulty of evolutionary dynamics."--BOOK JACKET.
This book presents the latest research and theory about organizational evolutionary change. It brings together the work of organization theorists who have played key roles in challenging the orthodox adaptation views that prevailed until the beginning of the 1980s. Joel A.C. Baum and Jitendra V. Singh emphasize hierarchy of evolutionary processes at the intraorganizational level, the organizational level, the population level, and the community level. Derived from a conference held at the Stern School of Business at New York University, Evolutionary Dynamics of Organizations is organized in a way that gives order and coherence to what has been a diverse and multidisciplinary field.
In recent years, scientists have realized that evolution can occur on timescales much shorter than the "long lapse of ages" emphasized by Darwin—in fact, evolutionary change is occurring all around us all the time. This book provides an authoritative and accessible introduction to eco-evolutionary dynamics, a cutting-edge new field that seeks to unify evolution and ecology into a common conceptual framework focusing on rapid and dynamic environmental and evolutionary change. Andrew Hendry covers key aspects of evolution, ecology, and their interactions. Topics range from natural selection, adaptive divergence, ecological speciation, and gene flow to population and community dynamics, ecosystem function, plasticity, and genomics. Hendry evaluates conceptual and methodological approaches, and draws on empirical data from natural populations—including those in human-disturbed environments—to tackle a number of classic and emerging research questions. He also discusses exciting new directions for future research at the intersection of ecology and evolution. An invaluable guide for students and researchers alike, Eco-evolutionary Dynamics reveals how evolution and ecology interact strongly on short timescales to shape the world we see around us.
This text offers a systematic, rigorous, and unified presentation of evolutionary game theory, covering the core developments of the theory from its inception in biology in the 1970s through recent advances. Evolutionary game theory, which studies the behavior of large populations of strategically interacting agents, is used by economists to make predictions in settings where traditional assumptions about agents' rationality and knowledge may not be justified. Recently, computer scientists, transportation scientists, engineers, and control theorists have also turned to evolutionary game theory, seeking tools for modeling dynamics in multiagent systems. Population Games and Evolutionary Dynamics provides a point of entry into the field for researchers and students in all of these disciplines. The text first considers population games, which provide a simple, powerful model for studying strategic interactions among large numbers of anonymous agents. It then studies the dynamics of behavior in these games. By introducing a general model of myopic strategy revision by individual agents, the text provides foundations for two distinct approaches to aggregate behavior dynamics: the deterministic approach, based on differential equations, and the stochastic approach, based on Markov processes. Key results on local stability, global convergence, stochastic stability, and nonconvergence are developed in detail. Ten substantial appendixes present the mathematical tools needed to work in evolutionary game theory, offering a practical introduction to the methods of dynamic modeling. Accompanying the text are more than 200 color illustrations of the mathematics and theoretical results; many were created using the Dynamo software suite, which is freely available on the author's Web site. Readers are encouraged to use Dynamo to run quick numerical experiments and to create publishable figures for their own research.
An analysis of standard evolutionary dynamics adapted to extensive form games. Evolutionary game theory attempts to predict individual behavior (whether of humans or other species) when interactions between individuals are modeled as a noncooperative game. Most dynamic analyses of evolutionary games are based on their normal forms, despite the fact that many interesting games are specified more naturally through their extensive forms. Because every extensive form game has a normal form representation, some theorists hold that the best way to analyze an extensive form game is simply to ignore the extensive form structure and study the game in its normal form representation. This book rejects that suggestion, arguing that a game's normal form representation often omits essential information from the perspective of dynamic evolutionary game theory. The book offers a synthesis of current knowledge about extensive form games from an evolutionary perspective, emphasizing connections between the extensive form representation and dynamic models that traditionally have been applied to biological and economic phenomena. It develops a general theory to analyze dynamically arbitrary extensive form games and applies this theory to a range of examples. It lays the foundation for the analysis of specific extensive form models of behavior and for the further theoretical study of extensive form evolutionary games.
Presents a careful account of the results of a research project which began in 1973 and ran continuously for eleven years. Treats the ecology, behavior and genetics of a population still resident where it evolved, and small enough to permit the identification of every individual. Beautifully produce
Until recently, most network design techniques employed a bottom-up approach with lower protocol layer mechanisms affecting the development of higher ones. This approach, however, has not yielded fascinating results in the case of wireless distributed networks. Addressing the emerging aspects of modern network analysis and design, Evolutionary Dynamics of Complex Communications Networks introduces and develops a top-bottom approach where elements of the higher layer can be exploited in modifying the lowest physical topology—closing the network design loop in an evolutionary fashion similar to that observed in natural processes. This book provides a complete overview of contemporary design approaches from the viewpoint of network science and complex/social network analysis. A significant part of the text focuses on the classification and analysis of various network modification mechanisms for wireless decentralized networks that exploit social features from relevant online social networks. Each chapter begins with learning objectives and introductory material and slowly builds to more detailed analysis and advanced concepts. Each chapter also identifies open issues, while by the end of the book, potential research directions are summarized for the more interested researcher or graduate student. The approach outlined in the book will help network designers and administrators increase the value of their infrastructure without requiring any significant additional investment. Topics covered include: basic network graph models and properties, cognitive methods and evolutionary computing, complex and social network analysis metrics and features, and analysis and development of the distinctive structure and features of complex networks. Considering all aspects of modern network analysis and design, the text covers the necessary material and background to make it a suitable source of reference for graduate students, postdoctoral researchers, and scientists
Drawing on the middle chapters from the first edition of J. Barkley Rosser's seminal work, From Catastrophe to Chaos, this book presents an unusual perspective on economics and economic analysis. Current economic theory largely depends upon assuming that the world is fundamentally continuous. However, an increasing amount of economic research has been done using approaches that allow for discontinuities such as catastrophe theory, chaos theory, synergetics, and fractal geometry. The spread of such approaches across a variety of disciplines of thought has constituted a virtual intellectual revolution in recent years. This book reviews the applications of these approaches in various subdisciplines of economics and draws upon past economic thinkers to develop an integrated view of economics as a whole from the perspective of inherent discontinuity.
The theme of this volume is to discuss Eco-evolutionary Dynamics. Updates and informs the reader on the latest research findings Written by leading experts in the field Highlights areas for future investigation
The regional aircraft market has, in recent years, been defined as the market below 100 seats internationally, and below about 76 seats in the United States. The pending introduction of the Bombardier CSeries and Embraer E2 Jets, moves this definition. These new technology 100-150 seat jets bridge the gap between smaller regional aircraft and the 150 seat and above mainline single-aisle aircraft. AirInsight has extended our definition of regional aircraft to include the crossover segment of new aircraft in the 100- 150 seats range, and we now consider the 150 seats plus market as the new mainline sector.
This text provides background and basic principles for bioinformatics research in an evolutionary context, with an emphasis on the link between gene and trait; this type of question arises in many industrial applications, e.g. biotechnology, pharmacology and drug discovery, and other applications based on genomics and proteomics.
Dyke examines the controversial topics of sociobiology and evolution from scientific and philosophical perspectives. At issue are the basic underpinnings of biology: explanation, determination, teleology, reductionism, and hierarchy. The author proposes that progress in sociobiology and evolution is hindered by an outmoded philosophical view of science that does not adequately take into account recent advances in our understanding of basic biological processes. His goal is to shift the focus from a philosophical understanding based on observation from outside biology to a dynamic, philosophically aware science.
Focusing on the example of the Lost Pines forest of Texas, this book contextualises the present-day conservation of the Lost Pines within its wealth of historical and geological records. This in turn presents a realistic example for examining evolutionary dynamics models and how they can guide management of temperate pine forests under the uncertainty of future climate change. Synthesising knowledge from many scholarly disciplines, and presenting the latest knowledge on how temperate forests respond to climate change, the book provides insight into how resource professionals actually solve complex multi-layered problems. A useful aid for forest management professionals and for advanced students and professionals in ecology, the book is a valuable resource for researchers and professionals, which can also be used as a classroom exercise for spatial imaging, testing virtual simulations and developing field-based research questions.