Reducing cognitive entropy in human–AI reasoning.

A research project on clarity, time-forward cognition and emergent knowledge processing.

I work at the intersection of human cognition and AI cooperation.
My focus is on developing clarity-based cognitive architectures that reduce entropic distortion in human reasoning and enable high-fidelity collaboration with advanced AI systems.

This includes research into:

• emergent knowledge processing,
• time-forward cognitive dynamics,
• hyper-poloi oscillation as a structural bottleneck,
• and the development of the iSelfMentor disposition — a human cognitive phenotype optimised for AI–human cooperative reasoning.

This work is currently being formalised toward a 2026 white paper on Human–AI Cooperative Intelligence.

I’m interested in connecting with researchers, cognitive scientists, AI theorists, complexity thinkers and practitioners who recognise the need for a new class of human cognitive skills in an AI-augmented world.

Anthony Owens

This about page outlines the wider field of applications that flow from the the imputed self-conception and the will not to know as described on the homepage see:http://www.0tony0.com