Evolutionary Gap Theory (EGT): A Unified Framework for Analyzing, Measuring, and Predicting the Dynamics of Complex Systems
Year: 2026
Type: article
Abstract: The Evolutionary Gap Theory (EGT) presents an analytical-quantitative framework for identifying, measuring, and predicting the consequences of dynamic misalignment between two fundamental functions of complex systems: the capacity for purposive change (Capability) and the capacity for feedback-driven course correction (Guidance). By defining the latent variable "Evolutionary Gap" as the net rate of misalignment between these two functions, and by providing the GEGI as an operational measurement tool, EGT demonstrates that the widening of this gap systematically undermines a system's ability to recognize its own safe operating boundaries. Through three causal channels—cognitive delay, diminished regulatory power, and increased forecast error—this gap translates into escalating systemic pressure. Empirical findings from panel data across 50 countries (2000–2023) reveal that GEGI predicts planetary stress with an R² of 0.612, outperforming competing models (GDP, Governance, HDI, EKC, STIRPAT). Four testable propositions are derived from the theory; three are confirmed by available data, with one pending future investigation. The theory's core innovation lies in its generalizability across seven levels of analysis—from the cellular to the civilizational—and its foundation upon three independent proofs drawn from control theory, thermodynamics, and catastrophe theory. EGT does not claim that this gap is the sole driver of crises, but rather posits it as one of the fundamental, recurring mechanisms in the history of complex systems, previously unmodeled in quantitative and systematic terms.
Authors: Vahid Alipour, Mobina Alizadeh
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: W7171829166
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