
Abstracting an effective theory from a complicated process is central to the study of complexity. Even when the underlying mechanisms are understood, or at least measurable, the presence of dissipation and irreversibility in biological, computational, and social systems makes the problem harder. Here, we demonstrate the construction of effective theories in the presence of both irreversibility and noise, in a dynamical model with underlying feedback. We use the Krohn-Rhodes theorem to show how the composition of underlying mechanisms can lead to innovations in the emergent effective theory. We show how dissipation and irreversibility fundamentally limit the lifetimes of these emergent structures, even though, on short timescales, the group properties may be enriched compared to their noiseless counterparts.
FOS: Computer and information sciences, Formal Languages and Automata Theory (cs.FL), FOS: Physical sciences, Computer Science - Formal Languages and Automata Theory, Formal languages and automata, Quantitative Biology - Quantitative Methods, Nonlinear Sciences - Adaptation and Self-Organizing Systems, FOS: Biological sciences, Analytic circuit theory, Adaptation and Self-Organizing Systems (nlin.AO), Quantitative Methods (q-bio.QM)
FOS: Computer and information sciences, Formal Languages and Automata Theory (cs.FL), FOS: Physical sciences, Computer Science - Formal Languages and Automata Theory, Formal languages and automata, Quantitative Biology - Quantitative Methods, Nonlinear Sciences - Adaptation and Self-Organizing Systems, FOS: Biological sciences, Analytic circuit theory, Adaptation and Self-Organizing Systems (nlin.AO), Quantitative Methods (q-bio.QM)
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