Robots as models of evolving systems

Author:

Wang Gao1,Phan Trung V.2,Li Shengkai3ORCID,Wang Jing45,Peng Yan6,Chen Guo1ORCID,Qu Junle7ORCID,Goldman Daniel I.3ORCID,Levin Simon A.8ORCID,Pienta Kenneth9ORCID,Amend Sarah9ORCID,Austin Robert H.10ORCID,Liu Liyu1

Affiliation:

1. Chongqing Key Laboratory of Soft Condensed Matter Physics and Smart Materials, College of Physics, Chongqing University, Chongqing 401331, China

2. Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT 06520

3. School of Physics, Georgia Institute of Technology, Atlanta, GA 30332

4. Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou 325011, China

5. Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou 325001, China

6. Research Institute of USV Engineering, Shanghai University, Shanghai 200444, China

7. College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China

8. Department of Environmental and Evolutionary Biology, Princeton University, Princeton, NJ 08544

9. The Brady Urological Institute, Johns Hopkins School of Medicine, Baltimore, MD 21287

10. Department of Physics, Princeton University, Princeton, NJ 08544

Abstract

Significance We present a fully realized adaptive resource landscape with diploid three-gene robots presenting interacting roles of population dynamics, mutations, breeding, death, and birth. Although modeling and theory serves as a guide here, the inherent complexity of our robobiology world makes it an experiment in exploring rules of Darwinian natural selection at a level difficult to simulate. We find that the lower the genetic diversity, the lower the survival probability of the robot population. We propose that diploid gene robots can act as avatars of diploid mammalian cells to explore novel programs of administration of drugs.

Funder

National Science Foundation

National Natural Science Foundation of China

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3