Beneficial Variability Across Domains: The Functional Role of Noise (Prior-Art Survey)

Beneficial Variability Across Domains: The Functional Role of Noise (Prior‑Art Survey) Author: Suvajit Das (Affiliations: Divitia LLC, Atlanta, GA; AI Robotics, Singapore)ORCID: 0009‑0005‑3757‑6956 Summary This prior‑art survey synthesizes evidence for the constructive role of variability/noise across physics, biology, neuroscience, machine learning, and evolutionary dynamics. It organizes foundational models (e.g., stochastic resonance), empirical findings (e.g., tRNS effects, mutation‑rate trade‑offs), and conceptual tensions (e.g., brittleness at equilibrium, overfitting) to motivate a general framework where bounded, non‑zero deviation maximizes adaptive progress. Scope and contributions Cross‑domain integration: Physics (SR), neuroscience (perception and tRNS), evolution (robustness–evolvability), and ML (regularization, reservoir synchronization). Human‑level exemplar: A concise behavioral example (creativity/performance) that mirrors the cross‑domain inverted‑U relationship. Comparative table: One‑screen summary of domains, deviation proxies, adaptation metrics, observed shapes, and mechanisms. Full narrative: The record includes a verbatim, extended narrative from the author’s original notes to preserve historical and conceptual context. Gap closure: The survey identifies the missing general theory and points to a companion framework that formalizes when bounded deviation is optimal for adaptation. Companion work This supplement is a companion to the theory note:Das, S. (2025). Productive Asymmetry: A Framework for Bounded Deviation and Adaptive Progress.Zenodo DOI: 10.5281/zenodo.17434524 Disclosure (LLM assistance) Large language model tools (OpenAI GPT; Google Gemini) were used to assist with multidisciplinary literature search and text refinement. All selection, interpretation, and synthesis are the author’s own. This record is published under a collaborative/open license and is intended to establish a multidisciplinary research foundation. It is not proprietary IP and may be cited to contextualize underlying principles. Files in this record PDF: supplement_prior_art_v1.pdf — full survey (structured sections + comparative table + full narrative). License & availability License: CC‑BY 4.0 Access: Open Version: v1.0.0 Funding: None. Self‑supported under Divitia LLC (Atlanta, GA, USA). Competing interests: None declared. Suggested citation Das, S. (2025). Beneficial Variability Across Domains: The Functional Role of Noise (Prior‑Art Survey). Zenodo. 10.5281/zenodo.17438423. Companion to Productive Asymmetry: 10.5281/zenodo.17434524.