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arXiv 1810.00501q-bio.PE
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遗传、文化和道德进化研究中的相似之处和有希望的方向

Parallels and promising directions in the study of genetic, cultural, and moral evolution

Rohan Maddamsetti, Jacob Bower-Bir

摘要:

实验进化通过揭示历史和进化中的偶然性和偶然性的作用,以及合作、冲突和亲属歧视的深层进化根源,对人类历史和进化产生了令人惊讶的见解。我们认为,一个有趣的研究方向将是开发计算和实验系统研究进化过程,涉及多层遗传(如基因,表观遗传,语言和文化)和反馈(如基因文化共同进化和配偶选择)以及开放式生态位建设-所有这些都是重要的人类历史和进化。这种系统也将是一种明确的方式,可以激励不同文化和社会经济背景的学者和学生以及社会科学和人文科学的学者和学生进行进化和计算。原则上,文化进化的计算模型可以与数据进行比较,因为已经存在用于实时跟踪文化变化的大规模数据集。因此,作为实验室和计算科学的实验进化论,正准备成为一种教育工具,让人们质疑和研究我们从哪里来,为什么我们相信我们所相信的,以及我们作为一个物种可能会走向何方。

英文摘要:

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 humanities. In principle, computational models of cultural evolution could be compared to data, given that large-scale datasets already exist for tracking cultural change in real-time. Thus, experimental evolution, as a laboratory and computational science, is poised to grow as an educational tool for people to question and study where we come from, why we believe what we believe, and where we as a species may be headed.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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