DIEP seminar by Jordi Pinero
Information bounds production in replicator systems
We investigate the relationship between information and production in flow reactors containing self-replicating molecules under environmental fluctuations. By analyzing productivity patterns, we reveal how information costs –analogous to learning and prediction accuracy– impact the system’s efficiency in production. We connect these findings to information-theoretic concepts such as side-information and Kelly betting.
We introduce a plausible model based on synthetic molecular replicators, demonstrating intrinsic memory processing within cyclic environments. Our framework yields empirically accessible observables, enabling experimental measurement of information flows in chemical systems. Our results suggest that information and memory play a fundamental role in guiding the evolution of self-replicating systems.
If you wish to attend this seminar online, please send an email to m.t.pham@uva.nl to receive the zoom-link.