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Robots as models of evolving systems.

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.

SUBMITTER: Wang G

PROVIDER: S-EPMC8944266 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature

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Robots as models of evolving systems.

Wang Gao G Phan Trung V TV Li Shengkai S Wang Jing J Peng Yan Y Chen Guo G Qu Junle J Goldman Daniel I DI Levin Simon A SA Pienta Kenneth K Amend Sarah S Austin Robert H RH Liu Liyu L

Proceedings of the National Academy of Sciences of the United States of America 20220317 12

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 ...[more]

PMID: 35298335

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