A bioinspired conceptual framework for adaptive university press management

University presses face converging pressures from scholarly quality, peer-review integrity, reviewer scarcity, Open Science, artificial intelligence, international visibility, and economic sustainability. This article proposes Epigenetic Editorial Intelligence, a bioinspired conceptual framework that represents stable institutional rules as Editorial DNA and models operational adaptation through epigenetic regulation, an Artificial Immune System, organizational memory, human–AI collaboration, and multiobjective optimization. Nine operational indicators are formalized and aggregated into a Global Editorial Intelligence Index (GEII). Internal model behavior is examined through paired synthetic ablations that disable one mechanism at a time, using 200 Monte Carlo repetitions, common random-number streams, 95% confidence intervals, alternative weighting schemes and 1000 Dirichlet weight perturbations. Results are interpreted as structural-consistency diagnostics rather than empirical validation. This work provides a reproducible conceptual and mathematical foundation for subsequent implementation and testing with real editorial records.