Preprint Open access
Generalized Residual Closure: General Learning Dynamics for Stability-Plasticity Compatibility
Learning must acquire new capabilities while preserving both prior responsibilities and the capacity to learn again. We introduce Generalized Residual Closure (GRC), a framework for learning as recursive closure of future-relevant discrepancies: closing a residual establishes the conditions for subsequent prediction, i …