Individual-Based Models of Cultural Evolution (PDF)
A Step-by-Step Guide Using R
(Sprache: Englisch)
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...
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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.
Autoren-Porträt von Alberto Acerbi, Alex Mesoudi, Marco Smolla
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.
Bibliographische Angaben
- Autoren: Alberto Acerbi , Alex Mesoudi , Marco Smolla
- 2022, 1. Auflage, 222 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1000602036
- ISBN-13: 9781000602036
- Erscheinungsdatum: 05.07.2022
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Größe: 13 MB
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Sprache:
Englisch
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