Abstract
We consider a chemical reaction network model in which some of the reactions are stochastic and depend on past history. In this chemical reaction network, we found the emergence of autocatalytic sets (ACS) and complex dynamics in which ACS are repeatedly created and destroyed.
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Suzuki, Y., Davis, P. & Tanaka, H. Emergence of auto-catalytic structure in stochastic self-reinforcing reaction networks. Artificial Life and Robotics 7, 210–213 (2004). https://doi.org/10.1007/BF02471209
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DOI: https://doi.org/10.1007/BF02471209