Robots as models of evolving systems.
Publication Year
2022
Type
Journal Article
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.
Journal
Proceedings of the National Academy of Sciences of the United States of America
Volume
119
Issue
12
Pages
e2120019119
Date Published
03/2022
ISSN Number
1091-6490
Alternate Journal
Proc Natl Acad Sci U S A
PMCID
PMC8944266
PMID
35298335