What question did this study set out to answer?

The research aims to formalize three universal laws into a predictive framework for understanding evolutionary dynamics.

March 2, 2026Open Access

Formalizing Angelito Malicse’s Three Universal Laws: A Dynamical Systems Framework Validated by Bacterial Evolution Data

Key Points

The research aims to formalize three universal laws into a predictive framework for understanding evolutionary dynamics.
Developed a dynamical systems model based on Malicse's laws
Simulated evolutionary changes toward symbiosis
Validated model predictions using bacterial evolution data
Demonstrated strong alignment between the model and real-world evolutionary data
Validated predictions of bacterial gene gain/loss and horizontal gene transfer rates
Supported the framework's application in studying adaptive evolution

Abstract

ABSTRACT Angelito Malicse proposes three universal laws—Karma (system integrity), Balance, and Feedback Loop—as foundational principles governing complexity from cosmology to biology. This paper formalizes these into a predictive dynamical systems model, simulates evolutionary shifts toward symbiosis, and validates predictions against real-world datasets, particularly bacterial gene gain/loss and horizontal gene transfer (HGT) rates. Results show strong mechanistic alignment, supporting the framework’s utility as a heuristic for adaptive evolution.

Formalizing Angelito Malicse’s Three Universal Laws: A Dynamical Systems Framework Validated by Bacterial Evolution Data

Key Points

Abstract

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