Article
Robots as models of evolving systems.
Proceedings of the National Academy of Sciences of the United States of America - 22 Mar 2022
Wang Gao, Phan Trung V, Li Shengkai, Wang Jing, Peng Yan, Chen Guo, Qu Junle, Goldman Daniel I, Levin Simon A, Pienta Kenneth, Amend Sarah, Austin Robert H, Liu Liyu
Abstract excerpt
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...
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