Vol A _ Origin, Scientific Motivation and Foundational Vision of the DUAL Program
Year: 2026
Type: article
Abstract: Volume A constitutes the conceptual, epistemological, and methodological foundation of the DUAL Scientific Program, a long-term research program devoted to the rigorous reconstruction of invisible phenomena and hidden organizational structures within partially observable systems. Rather than postulating the existence of unobservable entities, DUAL adopts a reconstruction-first approach. It investigates the scientific conditions under which empirical observations may require the reconstruction of a complementary domain that is not directly accessible to measurement. Such a reconstruction becomes scientifically admissible only when it satisfies explicit criteria of observational compatibility, mathematical consistency, structural stability, identifiability, convergence, parsimony, falsifiability, reproducibility, and independent validation. This foundational volume examines the limits of observation, the problem of scientific underdetermination, the distinction between hypothesis and constrained reconstruction, and the conditions under which reconstruction may become a legitimate object of scientific investigation. It introduces the general architecture, foundational principles, validation criteria, recognized limitations, interdisciplinary scope, and long-term scientific roadmap of the DUAL Program. The framework is intended for the study of systems whose internal states or organizational mechanisms remain wholly or partially inaccessible to direct observation. Its potential fields of application include fundamental physics, cosmology, astrophysics, quantum systems, complex adaptive systems, artificial intelligence, cognitive sciences, biological systems, network science, collective dynamics, information science, and the governability of complex systems. Volume A also situates DUAL within a broader unified scientific architecture involving UCQ, Crowd-Based Dynamics (CBD), and Endogenously-Constrained Artificial Intelligence (ECA). Within this architecture, UCQ examines the conditions and limits of observability; DUAL addresses the reconstruction of invisible or inaccessible structures; CBD studies the dynamics of accumulation, propagation, memory, saturation, conditional reversibility, and governability; and ECA extends these principles to governable artificial and computational systems. This volume does not claim to demonstrate the physical existence of any particular invisible entity. Its primary contribution is methodological: it establishes the scientific conditions under which an invisible reconstruction may be considered necessary, constrained, testable, reproducible, and potentially falsifiable. It therefore serves as the gateway to the subsequent mathematical, computational, observational, and experimental volumes of the DUAL Scientific Program.
Author: LAURET, WILSON JOHN STERKING
Language: English
Topic: Complex Systems and Dynamics
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7204452913