Robots as models of evolving systems.

Journal: Proceedings of the National Academy of Sciences of the United States of America
PMID: 35298335

Abstract

Experimental robobiological physics can bring insights into biological evolution. We present a development of hybrid analog/digital autonomous robots with mutable diploid dominant/recessive 6-byte genomes. The robots are capable of death, rebirth, and breeding. We map the quasi-steady-state surviving local density of the robots onto a multidimensional abstract “survival landscape.” We show that robot death in complex, self-adaptive stress landscapes proceeds by a general lowering of the robotic genetic diversity, and that stochastically changing landscapes are the most difficult to survive.

Authors

  • Gao Wang
    Columbia University, New York.
  • Trung V Phan
    Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT 06520.
  • Shengkai Li
    School of Physics, Georgia Institute of Technology, Atlanta, GA 30332.
  • Jing Wang
    Endoscopy Center, Peking University Cancer Hospital and Institute, Beijing, China.
  • Yan Peng
    Key Acu-moxibustion Laboratory of Biological Information Analysis of Institute of Acupuncture, Moxibustion and Massage, Hunan University of Chinese Medicine, Changsha 410007, China.
  • Guo Chen
    Department of Orthopedics, West China Hospital, Sichuan University, Chengdu Sichuan, 610041, P.R.China.
  • Junle Qu
    Shenzhen Key Laboratory of Ultrafast Laser Micro/Nano Manufacturing, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education/Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.
  • Daniel I Goldman
  • Simon A Levin
    Department of Environmental and Evolutionary Biology, Princeton University, Princeton, NJ 08544.
  • Kenneth Pienta
    The Brady Urological Institute, Johns Hopkins School of Medicine, Baltimore, MD 21287.
  • Sarah Amend
    The Brady Urological Institute, Johns Hopkins School of Medicine, Baltimore, MD 21287.
  • Robert H Austin
    Department of Physics, Princeton University, Princeton, NJ 08544.
  • Liyu Liu
    Chongqing Key Laboratory of Soft Condensed Matter Physics and Smart Materials, College of Physics, Chongqing University, Chongqing 401331, China.

Keywords

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