Robots as models of evolving systems.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 35298335.
- Also identified by DOI 10.1073/pnas.2120019119 and PMC identifier 8944266.
- Licence recorded as CC BY-NC-ND.
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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.
Medical subject headings
- Robotics