Parallels and promising directions in the study of genetic, cultural, and moral evolution
Rohan Maddamsetti, Jacob Bower-Bir

TL;DR
This paper discusses how experimental and computational evolution studies reveal insights into human history, emphasizing multi-layered inheritance, feedbacks, and niche construction, and advocates for expanding these methods for educational and scientific progress.
Contribution
It proposes developing models that incorporate multiple inheritance layers and feedback mechanisms to better understand human evolution and culture.
Findings
Experimental evolution reveals the roles of chance and contingency.
Computational models can be compared with real-world cultural data.
Evolutionary models can serve as educational tools across disciplines.
Abstract
Experimental evolution has yielded surprising insights into human history and evolution by shedding light on the roles of chance and contingency in history and evolution, and on the deep evolutionary roots of cooperation, conflict and kin discrimination. We argue that an interesting research direction would be to develop computational and experimental systems for studying evolutionary processes that involve multiple layers of inheritance (such as genes, epigenetic inheritance, language, and culture) and feedbacks (such as gene-culture coevolution and mate choice) as well as open-ended niche construction---all of which are important in human history and evolution. Such systems would also be a clear way to motivate evolution and computation to scholars and students across diverse cultural and socioeconomic backgrounds, as well as to scholars and students in the social sciences and…
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Taxonomy
TopicsEvolutionary Game Theory and Cooperation · Evolution and Genetic Dynamics · Language and cultural evolution
