Individual-Based Models of Cultural Evolution
A Step-by-Step Guide Using R
Alberto Acerbi, Alex Mesoudi & Marco Smolla
Individual-Based Models of Cultural Evolution
A Step-by-Step Guide Using R
Alberto Acerbi, Alex Mesoudi & Marco Smolla
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Description
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 interdisciplinary effort to understand cultural change and cultural diversity within an evolutionary framework.
Alberto Acerbi is Lecturer in the Centre for Culture and Evolution, Brunel University London, UK. He is interested in contemporary cultural phenomena, using a naturalistic, quantitative, and evolutionary approach with different methodologies, especially individual-based models and quantitative analysis of large-scale cultural data.
Alex Mesoudi is Professor of Cultural Evolution at the University of Exeter’s Cornwall Campus, UK. He conducts lab experiments, constructs theoretical models and analyses real-world data to try to understand how human culture evolves over time and shapes human behaviour.
Marco Smolla is Postdoctoral researcher at the Max-Planck Institute for Evolutionary Anthropology, Germany. He is a computational and evolutionary biologist, with a special interest in how humans shape and are shaped by culture. Using simulation models and dynamic social networks, he studies which conditions lead to the emergence and adoption of new and existing culture.