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June 3, 20260 citationsOpen Access

T3- A Unified Framework of Constrained Reality, Memory, and Regime Dynamics : Toward a Structural Understanding of Complex Systems

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WLWilson John Sterking LAURET

Key Points

  • The study aims to develop a unified framework for understanding emergence, memory, and regime dynamics in complex systems.
  • Integrates multiple theoretical frameworks including UCQ, DUAL, CBD, SMOT, and RAG-RES.
  • Examines factors like memory structures, adaptive dynamics, and regime transformation.
  • Proposes a conceptual language linking different systemic approaches.
  • Establishes that observable states result from interactions among latent configurations and memory.
  • Identifies structural constraints as key to understanding transformation and stability in complex systems.
  • Offers insights into the deep structural conditions influencing reality and coherence.

Abstract

This work presents a unified theoretical framework dedicated to the study of emergence, observability, memory, stability, and regime transformation within complex systems. The framework is built upon the integration of the Unified Cosmology–Quantum Framework (UCQ), the Dual-Substrate Framework (DUAL), Crowd-Based Dynamics (CBD), the Sterking Memory Operator Theory (SMOT), and Retrieval-Augmented Regime Evolution Systems (RAG-RES). The central hypothesis of the framework is that reality never appears directly in its entirety but emerges through constrained processes shaped by memory, accumulated interactions, structural constraints, and regime selection mechanisms. Observable states are interpreted as temporary stabilizations resulting from the interaction between latent configurations, memory structures, and adaptive dynamics. The corpus develops a progressive architecture examining invisible thresholds, regime formation, observer-dependent reality, memory-constrained observability, systemic instability, governability limits, informational tipping, irreversibility, and transformation processes. It proposes a common conceptual language capable of linking physical, cognitive, informational, collective, and artificial systems under a unified logic of emergence and structural evolution. Rather than focusing on isolated phenomena, the framework seeks to identify the deep structural conditions that make appearance, persistence, transformation, and loss of coherence possible. The work contributes to complexity science by offering a comprehensive architecture for understanding reality as a constrained, selected, memory-driven, and continuously reconfigured process.

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Cite This Study

Wilson John Sterking LAURET (2026) studied this question.

synapsesocial.com/papers/6a1fc394dee9eb8c0dce505ehttps://doi.org/10.5281/zenodo.20453658
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