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 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. .

Science need not be dull and bogged down by jargon, as Richard Dawkins proves in this entertaining look at evolution. The themes he takes up are the concepts of altruistic and selfish behaviour; the genetical definition of selfish interest; the evolution of aggressive behaviour; kinshiptheory; sex ratio theory; reciprocal altruism; deceit; and the natural selection of sex differences. 'Should be read, can be read by almost anyone. It describes with great skill a new face of the theory of evolution.' W.D. Hamilton, Science

From biology to culture to the new new economy, the buzzword on everyone's lips is "meme." How do animals learn things? How does human culture evolve? How does viral marketing work? The answer to these disparate questions and even to what is the nature of thought itself is, simply, the meme. For decades researchers have been convinced that memes were The Next Big Thing for the understanding of society and ourselves. But no one has so far been able to define what they are. Until now. Here, for the first time, Robert Aunger outlines what a meme physically is, how memes originated, how they developed, and how they have made our brains into their survival systems. They are thoughts. They are parasites. They are in control. A meme is a distinct pattern of electrical charges in a node in our brains that reproduces a thousand times faster than a bacterium. Memes have found ways to leap from one brain to another. A number of them are being replicated in your brain as you read this paragraph. In 1976 the biologist Richard Dawkins suggested that all animals -- including humans -- are puppets and that genes hold the strings. That is, we are robots serving as life support for the genes that control us. And all they want to do is replicate themselves. But then, we do lots of things that don't seem to help genes replicate. We decide not to have children, we waste our time doing dangerous things like mountain climbing, or boring things like reading, or stupid things like smoking that don't seem to help genes get copied into the next generation. We do all sorts of cultural things for reasons that don't seem to have anything to do with genes. Fashions in sports, books, clothes, ideas, politics, lifestyles come and go and give our lives meaning, so how can we be gene robots? Dawkins recognized that something else was going on. We communicate with one another and we get ideas, and these ideas seem to have a life of their own. Maybe there was something called memes that were like thought genes. Maybe our bodies were gene robots and our minds were meme robots. That would mean that what we think is not the result of our own creativity, but rather the result of the evolutionary flow of memes as they wash through us. What is the biological reality of an idea with a life of its own? What is a thought gene? It's a meme. And no one before Robert Aunger has established what it physically must be. This elegant, paradigm-shifting analysis identifies how memes replicate in our brains, how they evolved, and how they use artifacts like books and photographs and advertisements to get from one brain to another. Destined to inflame arguments about free will, open doors to new ways of sharing our thoughts, and provide a revolutionary explanation of consciousness, The Electric Meme will change the way each of us thinks about our minds, our cultures, and our daily choices.

The term “vMEME” (the superscript “v” is for “value”) refers to a core value system expressed through a culture’s memes, i.e., its ideas, habits, and cultural preferences and practices that spread from person to person. In MEMEnomics Said E. Dawlabani reframes our economic history and the future of capitalism through the unique prism of a culture’s value systems. Focusing on the long-term effects of economic policies on society, he expands psychologist Clare W. Graves’ concepts of the hierarchical nature of human development and the theories of value systems of Beck and Cowan’s Spiral Dynamics. He presents our economic history in terms of the hierarchy of five of the eight value-systems or vMEMEs of human existence that we can now identify. These new value preferences emerge as people interact with their environment to solve the problems of their “life conditions.”

It is widely recognised that mainstream economics has failed to translate micro consistently into macro economics and to provide endogenous explanations for the continual changes in the economic system. Since the early 1980s, a growing number of economists have been trying to provide answers to these two key questions by applying an evolutionary approach. This new departure has yielded a rich literature with enormous variety, but the unifying principles connecting the various ideas and views presented are, as yet, not apparent. This 2005 volume brings together fifteen original articles from scholars - each of whom has made a significant contribution to the field - in their common effort to reconstruct economics as an evolutionary science. Using meso economics as an analytical entity to bridge micro and macro economics as well as static and dynamic realms, a unified economic theory emerges.

A complete account of evolutionary thought in the social, environmental and policy sciences, creating bridges with biology.

A theoretical study dealing chiefly with matters of definition and clarification of terms and concepts involved in using Darwinian notions to model social phenomena.

Social scientists can learn a lot from evolutionary biology - from systematics and principles of evolutionary ecology to theories of social interaction including competition, conflict and cooperation, as well as niche construction, complexity, eco-evo-devo, and the role of the individual in evolutionary processes. Darwinian sociocultural evolutionary theory applies the logic of Darwinism to social-learning based cultural and social change. With a multidisciplinary approach for graduate biologists, philosophers, sociologists, anthropologists, social psychologists, archaeologists, linguists, economists, political scientists and science and technology specialists, the author presents this model of evolution drawing on a number of sophisticated aspects of biological evolutionary theory. The approach brings together a broad and inclusive theoretical framework for understanding the social sciences which addresses many of the dilemmas at their forefront - the relationship between history and necessity, conflict and cooperation, the ideal and the material and the problems of agency, subjectivity and the nature of social structure.

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.