Reinforcement learning in biological systems for adaptive regulation

Abstract excerpt

The adaptive control of complex biological systems remains unclear despite extensive research on their regulatory networks. We recently reported that epigenetic regulation of gene expression may be a learning process, in which amplification-and-decay cycles optimize expression patterns while basically maintaining current patterns. Here, we show that various biological processes, such as intestinal immunity, popula...

Topics

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• Evolution, Molecular
• Game Theory
• Genetics, Population
• Genotype
• Models, Theoretical
• Mutation
• Population Dynamics
• Selection, Genetic

Identifiers and source

Literature Corpus work

ad738ad1-6462-5c30-a016-1392c68185c9

DOI

10.21203/rs.3.rs-3571702/v1