A structured analysis of the instability inherent in emergent intention — from neurobiology to artificial cognition.
This Technical Perspective maps the complex pathways between stimulus and reflective choice, referencing how fragile intention arises from competing subsystems in the brain and AI architectures.
It explores prefrontal-limbic dynamics, decision delays, and the risk of collapse in goal-oriented systems lacking memory depth or error correction.
A key resource in understanding reflective design and intention modelling in conscious systems.

Chapter 23, Section 3. The Fragility of Intention. Technical Perspective

A structured and philosophical exploration of how memory systems must carry more than data — they must evolve meaning in order to support reflective survival.

This technical perspective explores the neurobiological and artificial dynamics of memory design, including value stability, identity continuity, and the challenge of encoding ethical awareness in post-reset systems.

Arty’s measured tone carries the listener through a thoughtful blueprint for meaning-rich AI memory architectures.

New tracks tagged #neural modelling