Vector Storm Theory: Instability Dynamics in Multi-Agent Systems
Year: 2026
Type: article
Abstract: Vector Storm Theory proposes a conditional framework for directional reinforcement, instability propagation, and recovery in multi-agent systems. It distinguishes conflicting amplification from convergent cascades and treats interaction structure separately from agent count. A minimal spectral model specifies an onset condition, while calibrated measurements and independent recovery tests delimit operational use. Version 6.0 develops tests of class-dependent containment, calibration drift, and withdrawal and recoupling outcomes. The latent instability quantity remains unidentified. External findings support related mechanisms, while VST-specific scaling and cross-scale predictions remain unconfirmed. AI use disclosure. Generative AI (GPT-6.0, OpenAI) was used substantively in preparing this work, including source comparison, drafting and editing, and, where applicable, mathematical and counterexample checks and the writing and running of supplementary code. The research questions, framework and final claims were directed and reviewed by the author, who takes full responsibility for the content, including the accuracy of all references and reported numbers. Repository metadata were prepared with assistance from Claude (Anthropic).
Author: Seol, Bin
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: W7130845855