Evolutionary Economics: Program and Scope offers a fresh look at the paradigmatic foundations and basic theoretical propositions of economics. Twelve authors - each of them with his own distinct contribution to economics - make a step forward by reinterpreting major areas of micro and macroeconomics in line with modern evolutionary thinking. This volume offers a unified approach to economics that allows recent developments in various strands of Evolutionary Economics to be integrated and major positions of Neoclassical Economics to be reconsidered. The chapters on `Evolutionary Macro Economics' explore macro areas such as the division of labor and knowledge, technology and institutions, population thinking, meso economics, techno-economic trajectories and industrial sectors. By telescoping structure into time, they highlight the processes of structural change and co-evolution between technologies and institutions, and provide a causal-explanatory core for a modern - evolutionary - theory of economic growth and economic development. The chapters on `Evolutionary Micro Economics' offer insights into the knowledge based theories of the firm and take up the issues of cognitive and behavioral routines. The contributions explore the processes of complex human choice, creativity, and adaptation in selective and path-dependent environments. The discussions make an essential contribution to the cognitive and behavioral foundations of a modern institutional economics.

This compilation by leading protagonists is a must for a greater understanding of the world we are living in and wanting to see change for the better. Gerry Sweeney, Prometheus Modern evolutionary economics is now nearly two decades old and in this excellent book, a distinguished group of evolutionary economists identify the most important developments and discuss the direction of future research. By moving away from traditional concerns with the operation of selection mechanisms towards a preoccupation with the manner in which the novelty and variety provide fuel for such mechanisms, the authors identify a key development in the field. Evolutionary economists have been drawn into the modern complexity science literature which attempts to provide an understanding of how and why complex adaptive systems engage in processes of self-organization. The goal is to provide an integrated analysis of both selection and self-organization that is uniquely economic in orientation. After a brief overview of the many key achievements and continuing challenges, the first part of the book deals with theoretical perspectives, discussing institutional change, social constructions, complexity, selection and self-selection and the usefulness of theory. Part two deals with empirical perspectives and includes discussion of replicator dynamics, the measurement of heterogeneity and complexity, and modelling organizations as complex adaptive systems. This unique book will appeal to evolutionary and industrial economists and policymakers involved with issues of innovation and management scientists.

While dating from post-Classical economists such as Thorstein Veblen and Joseph Schumpeter, the inception of the modern field of evolutionary economics is usually dated to the early 1980s. Broadly speaking, evolutionary economics sees the economy as undergoing continual, evolutionary change. Evolutionary change indicates that these changes were not planned, but rather were the result of innovations and selection processes. These often involved winners and losers, but most importantly, they resulted in actors learning what was and was not working. Evolutionary economics, in contrast to mainstream economics, emphasises the relevance of variables such as technology, institutions, decision rules, routines, or consumer preferences for explaining the complex evolutionary changes in the economy. In so doing, evolutionary economics significantly broadens the scope of economic analysis, and sheds new light on key concepts and issues of the discipline. This handbook draws on a stellar cast list of international contributors, ranging from the founders of the field to the newest voices. The volume explores the current state of the art in the field of evolutionary economics at the levels of the micro (e.g. firms and households), meso (e.g. industries and institutions), and macro (e.g. economic policy, structure, and growth). Overall, the Routledge Handbook of Evolutionary Economics provides an excellent overview of current trends and issues in this rapidly developing field.

This book provides a useful introduction to evolutionary economics. Adam Gifford, Journal of Bioeconomics With this important collection of fine new papers, Foster and Metcalfe have brought together another volume that will make an impact on the newly unfolding science-of-complexity approach to economics. Ranging from the theoretical foundations to modeling tools and concrete empirical applications, the contributions cover all relevant areas. The reader is being offered exciting new views on variety generating and selecting mechanisms in the economy and their role for technological and commercial change. Ulrich Witt, Max Planck Institute, Jena, Germany Dedicated to the goal of furthering evolutionary economic analysis, this book provides a coherent scientific approach to deal with the real world of continual change in the economic system. Expansive in its scope, this book ranges from abstract discussions of ontology, analysis and theory to more practical discussions on how we can operationalize notions such as capabilities from what we understand as knowledge . Simulation techniques and empirical case studies are also used. Sharpening the focus of the relationship between economic evolution and economic complexity, the book will be of great interest to academics, students and researchers of evolutionary economics.

This book explores the question of whether and how meme theory or “memetics” can be fruitfully utilized in evolutionary economics and proposes an approach known as “economemetics” which is a combination of meme theory and complexity theory that has the potential to combat the fragmentation of evolutionary economics while re-connecting the field with cultural evolutionary theory. By studying the intersection of cultural and economic evolution, complexity economics, computational economics, and network science, the authors establish a connection between memetics and evolutionary economics at different levels of investigation. The book first demonstrates how a memetic approach to economic evolution can help to reveal links and build bridges between different but complementary concepts in evolutionary economics. Secondly, it shows how organizational memetics can help to capture the complexity of organizational culture using meme mapping. Thirdly, it presents an agent-based simulation model of knowledge diffusion and assimilation in innovation networks from a memetic perspective. The authors then use agent-based modeling and social network analysis to evaluate the diffusion pattern of the Ice Bucket Challenge as an example of a “viral meme.” Lastly, the book discusses the central issues of agency, creativity, and normativity in the context of economemetics and suggests promising avenues for further research.

This book focuses on the emerging field of evolutionary economic policy, highlighting the interface between the state, markets, and the evolutionary complexity of modern economies. The contributors explore the possibilities and limitations of governance, and provide a unique platform for the advancement of modern evolutionary economic theory.

This book focuses on knowledge-based economies and attempts to analyze dynamic innovation driven processes within those economies. It shows that evolutionary economics, and in particular the strand of applied industry and innovation studies often called Neo-Schumpeterian economics, has left the nursery of new academic approaches and is able to offer important insights for the understanding of socio-economic processes of change and development having a strong impact on economic reality all over the world. The contributions are summarized under four major sections knowledge and cognition, studies of knowledge-based industries, the geographical dimension of knowledge-based economies and measuring and modelling for knowledge-based economies and give a broad overview of the prolific research being undertaken in applied evolutionary economics. Students will find this book an invaluable resource for future research, as will researchers seeking an introduction to new methods and perspectives of analysis.

"This book provides applications of nature inspired computing for economic theory and practice, finance and stock-market, manufacturing systems, marketing, e-commerce, e-auctions, multi-agent systems and bottom-up simulations for social sciences and operations management"--Provided by publisher.

The first book to chart the development of the field of evolutionary economics, this book provides an integrated generic framework to define the rules of an economic system; how they are coordinated and the causes and consequences of their change. Packed with pedagogical features including essay and tutorial questions, case studies and an extensive bibliography, this book: proposes a new analytic framework for the study of the nature and causes of long run economic growth and development in market systems analyzes the foundations of the neoclassical tradition, before developing a thesis through micro, meso and macro domains drawing conclusions as to what can be learned from the point of view of policy analysis focuses on an open-systems analytical framework and successfully formulates and refines the analytical foundations of a new general theory of economic evolution. This volume is essential reading for scholars and students of economic evolution and as well as for anyone who seeks to better understand the complex evolutionary nature of the structure and dynamics of the knowledge-based economy in today’s society.

The present book describes the methodology to set up agent-based models and to study emerging patterns in complex adaptive systems resulting from multi-agent interaction. It offers the application of agent-based models in demography, social and economic sciences and environmental sciences. Examples include population dynamics, evolution of social norms, communication structures, patterns in eco-systems and socio-biology, natural resource management, spread of diseases and development processes. It presents and combines different approaches how to implement agent-based computational models and tools in an integrative manner that can be extended to other cases.