Memetics and Evolutionary Economics - To Boldly Go Where no Meme has Gone Before (Hardcover, 1st ed. 2021)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Economic Complexity and Evolution
Release date:	December 2020
First published:	2021
Editors:	Michael P. Schlaile
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	205
Edition:	1st ed. 2021
ISBN-13:	978-3-03-059954-6
Categories:	Books > Business & Economics > Economics > Economic theory & philosophy Books > Science & Mathematics > Mathematics > Applied mathematics > General
LSN:	3-03-059954-X
Barcode:	9783030599546

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