How Generator-Filter Theory (GFT) Opens the Doors: A Meta-Level Framework for Unifying Physical and Informational Dynamics

This article presents Generator-Filter Theory (GFT) as a novel meta-level framework that bridges and extends existing theories in thermodynamics, information-theoretic physics, and quantum gravity. By reconceptualizing energy and information through a dual ontological lens—generators as algebraic potentials and filters as topological constraints—GFT provides a unified, geometric description of how systems organize potential into actuality. It addresses key limitations in prior approaches, such as their operational focus, lack of ontological depth, and limited generalizability. GFT introduces bidirectional co-evolution between generators and filters, incorporating causation and retrocausation to generate recursive structures. This framework redefines energy as a relational measure of alignment and information as dynamic coherence, extending its applicability to biological, cognitive, computational, and symbolic systems. Ultimately, GFT proposes a universal structural ontology where diverse phenomena emerge as projections of a single dual process.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-15
DOI
https://doi.org/10.5281/zenodo.17363442
Primary Topic
Constraint Satisfaction and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

How Generator-Filter Theory (GFT) Opens the Doors: A Meta-Level Framework for Unifying Physical and Informational Dynamics

Zenodo (CERN European Organization for Nuclear Research)
Constraint Satisfaction and Optimization
article

How Generator-Filter Theory (GFT) Opens the Doors: A Meta-Level Framework for Unifying Physical and Informational Dynamics

article en

Abstract

This article presents Generator-Filter Theory (GFT) as a novel meta-level framework that bridges and extends existing theories in thermodynamics, information-theoretic physics, and quantum gravity. By reconceptualizing energy and information through a dual ontological lens—generators as algebraic potentials and filters as topological constraints—GFT provides a unified, geometric description of how systems organize potential into actuality. It addresses key limitations in prior approaches, such as their operational focus, lack of ontological depth, and limited generalizability. GFT introduces bidirectional co-evolution between generators and filters, incorporating causation and retrocausation to generate recursive structures. This framework redefines energy as a relational measure of alignment and information as dynamic coherence, extending its applicability to biological, cognitive, computational, and symbolic systems. Ultimately, GFT proposes a universal structural ontology where diverse phenomena emerge as projections of a single dual process.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 43%
Constraint Satisfaction and Optimization
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