ABOUT US

Who Are We?

Paradigm Dynamics™ is an independent cognitive systems lab modeling belief formation, distortion, and systemic feedback in complex human systems. Based in the UK and operating globally, it serves as a research nucleus for new modeling architectures that bridge epistemology, systems thinking, and decision science.

Vision

Our goal is not merely to explain why systems fail to learn, but to model where, how, and why cognitive correction breaks down. Paradigm Dynamics is positioned to anchor long-horizon thinking on trust, identity, and institutional memory in an era of recursive uncertainty.

Our Framework

At the core of our work is the Cognitive System Dynamics (CSD) Framework. It is a layered architecture designed to simulate how feedback structures, bias loops, and learning breakdowns evolve over time. CSD is both a modeling logic and a language for systems that distort, entrench, or adapt belief.

Aryo Kiani

Research Architect

Aryo Kiani develops structural methods for modeling recursive belief distortion, cognitive feedback, and systemic bias entrenchment. He is the originator of the Cognitive System Dynamics (CSD) framework, Feedback Realism, and Bias Interaction Archetypes (BIAs).

https://orcid.org/0000-0001-9667-5456

Research Focus

We design formal tools for simulating bias interaction patterns, belief stabilization, and epistemic decay. Our methods support applications in diagnostic modeling, AI-human interfaces, misinformation systems, and institutional resilience. Every model we build is structurally testable and epistemologically grounded.

Collaboration & Community

Paradigm Dynamics™ originated as an independent research initiative and is structured for collaborative expansion. We welcome aligned theorists, modelers, and institutions to co-develop structural grammars of cognition and contribute to the evolving modules of the CSD framework.
For inquiries and collaborations: info@paradigmdynamics.org

What Comes Next

We are currently refining the architecture of the CSD framework, preparing targeted domain models, and developing collaborative research tracks in misinformation systems, AI cognition, and institutional memory. Upcoming outputs include a taxonomy of Bias Interaction Archetypes, a simulation grammar for belief resistance, and a series of co-authored working papers.