Constructive Fractalism: A New Way to Build Knowledge

Classical philosophies helped us define what science is, but not how to grow it. Popper showed how to test ideas. Kuhn explained how paradigms change. Neither showed how to construct new knowledge step by step. Constructive Fractalism does.

Testing IS Building

At the center of Constructive Fractalism stands a clear idea: testing builds knowledge. When a hypothesis fails, the failure is not a stop but a structural opening. Each test becomes a tool for refinement.

This approach turns science into an adaptive process that learns from itself. Knowledge evolves through a cycle of testing, failing, and rebuilding. The goal is not to find an ultimate truth but to strengthen the structure that learns.

The Fractal Architecture of Learning

Constructive Fractalism proposes that every adaptive system and subsystem follows the same recursive pattern:

A system opens to new information, encounters resistance or error, and then rebuilds itself into a stronger state. This process explains how neurons learn, how relationships heal, and how intelligent systems adapt.

The researcher and the system being studied mirror one another. The method used to study learning follows the same logic as the learning itself. This is what makes Constructive Fractalism both a theory and a method.

Read the Paper

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Constructive Fractalism: A Philosophy of Science for Modeling Adaptive Systems

by Lic. Tamara Maite Ayelén Logica Tornatore, NeuroConnected Growth, Denmark.