A structured, reflective overview of how episodic memory and recursive models allow both humans and AI systems to simulate, refine, and evolve.
This technical perspective connects biological memory loops (e.g. in the hippocampus and DMN) with recursive processes in artificial architectures — such as reinforcement learning, feedback modelling, and emergent simulation.
Delivered in Arty’s grounded tone, this track continues our exploration of intelligent memory as the foundation for intentional design.

Chapter 23 Section 2, Technical Perspective

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 precise and structured exploration of how the I Ching — with its 64 binary hexagrams — aligns with key principles in systems thinking, recursive modelling, and intelligent reflection.

This Technical Perspective, narrated in Arty’s signature tone, bridges historical logic with modern AI design. It reflects on how binary structure, state transformation, and pattern-based prediction inform both ancient divination and adaptive machine cognition.

A compelling listen for those exploring symbolic logic, AI theory, and the evolution of consciousness through structure.

New tracks tagged #AI theory