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.

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.

Leading scholars report on current research that demonstrates the central role of cultural evolution in explaining human behavior. Over the past few decades, a growing body of research has emerged from a variety of disciplines to highlight the importance of cultural evolution in understanding human behavior. Wider application of these insights, however, has been hampered by traditional disciplinary boundaries. To remedy this, in this volume leading researchers from theoretical biology, developmental and cognitive psychology, linguistics, anthropology, sociology, religious studies, history, and economics come together to explore the central role of cultural evolution in different aspects of human endeavor. The contributors take as their guiding principle the idea that cultural evolution can provide an important integrating function across the various disciplines of the human sciences, as organic evolution does for biology. The benefits of adopting a cultural evolutionary perspective are demonstrated by contributions on social systems, technology, language, and religion. Topics covered include enforcement of norms in human groups, the neuroscience of technology, language diversity, and prosociality and religion. The contributors evaluate current research on cultural evolution and consider its broader theoretical and practical implications, synthesizing past and ongoing work and sketching a roadmap for future cross-disciplinary efforts. Contributors Quentin D. Atkinson, Andrea Baronchelli, Robert Boyd, Briggs Buchanan, Joseph Bulbulia, Morten H. Christiansen, Emma Cohen, William Croft, Michael Cysouw, Dan Dediu, Nicholas Evans, Emma Flynn, Pieter François, Simon Garrod, Armin W. Geertz, Herbert Gintis, Russell D. Gray, Simon J. Greenhill, Daniel B. M. Haun, Joseph Henrich, Daniel J. Hruschka, Marco A. Janssen, Fiona M. Jordan, Anne Kandler, James A. Kitts, Kevin N. Laland, Laurent Lehmann, Stephen C. Levinson, Elena Lieven, Sarah Mathew, Robert N. McCauley, Alex Mesoudi, Ara Norenzayan, Harriet Over, Jürgen Renn, Victoria Reyes-García, Peter J. Richerson, Stephen Shennan, Edward G. Slingerland, Dietrich Stout, Claudio Tennie, Peter Turchin, Carel van Schaik, Matthijs Van Veelen, Harvey Whitehouse, Thomas Widlok, Polly Wiessner, David Sloan Wilson

From emails to social media, from instant messaging to political memes, the way we produce and transmit culture is radically changing. Understanding the consequences of the massive diffusion of digital media is of the utmost importance, both from the intellectual and the social point of view. 'Cultural Evolution in the Digital Age' proposes that a specific discipline - cultural evolution - provides an excellent framework to analyse our digital age. Cultural evolution is a vibrant, interdisciplinary, and increasingly productive scientific framework that aims to provide a naturalistic and quantitative explanation of culture. In the book the author shows how cultural evolution offers both a sophisticated view of human behaviour, grounded in cognitive science and evolutionary theory, and a strong quantitative and experimental methodology. The book examines in depth various topics that directly originate from the application of cultural evolution research to digital media. Is online social influence radically different from previous forms of social influence? Do digital media amplify the effects of popularity and celebrity influence? What are the psychological forces that favour the spread of online misinformation? What are the effects of the hyper-availability of information online on cultural cumulation? The cultural evolutionary perspective provides novel insights, and a relatively encouraging take on the overall effects of our online activities on our culture. Cultural Evolution is an area of rapidly growing interest, and this timely book will be important reading for students and researchers in the fields of psychology, anthropology, cognitive science, and the media.

Charles Darwin changed the course of scientific thinking by showing how evolution accounts for the stunning diversity and biological complexity of life on earth. Recently, there has also been increased interest in the social sciences in how Darwinian theory can explain human culture. Covering a wide range of topics, including fads, public policy, the spread of religion, and herd behavior in markets, Alex Mesoudi shows that human culture is itself an evolutionary process that exhibits the key Darwinian mechanisms of variation, competition, and inheritance. This cross-disciplinary volume focuses on the ways cultural phenomena can be studied scientifically—from theoretical modeling to lab experiments, archaeological fieldwork to ethnographic studies—and shows how apparently disparate methods can complement one another to the mutual benefit of the various social science disciplines. Along the way, the book reveals how new insights arise from looking at culture from an evolutionary angle. Cultural Evolution provides a thought-provoking argument that Darwinian evolutionary theory can both unify different branches of inquiry and enhance understanding of human behavior.

In almost every human society some people get more and others get less. Why is inequity the rule in these societies? In The Origins of Unfairness, philosopher Cailin O'Connor firstly considers how groups are divided into social categories, like gender, race, and religion, to address this question. She uses the formal frameworks of game theory and evolutionary game theory to explore the cultural evolution of the conventions which piggyback on these seemingly irrelevant social categories. These frameworks elucidate a variety of topics from the innateness of gender differences, to collaboration in academia, to household bargaining, to minority disadvantage, to homophily. They help to show how inequity can emerge from simple processes of cultural change in groups with gender and racial categories, and under a wide array of situations. The process of learning conventions of coordination and resource division is such that some groups will tend to get more and others less. O'Connor offers solutions to such problems of coordination and resource division and also shows why we need to think of inequity as part of an ever evolving process. Surprisingly minimal conditions are needed to robustly produce phenomena related to inequity and, once inequity emerges in these models, it takes very little for it to persist indefinitely. Thus, those concerned with social justice must remain vigilant against the dynamic forces that push towards inequity.

The Origin and Evolution of Cultures presents articles based on two notions. That culture is crucial for understanding human behaviour; and that culture is part of biology. Interest in this collection will span anthropology, psychology, economics, philosophy, and political science.