Part 2 of Becoming Adaptive turns cognition into code.

It refines the ION Learning Model into an engine of foresight, measuring override fidelity, emotional resilience, and style friction with surgical clarity. Every action becomes signal. Every signal becomes scenario. Simulations no longer reflect the past. They co-evolve with you.

From nuclear submarine drills to simulation labs, discover how adaptive telemetry reshapes readiness:

• Diagnose through disequilibration and friction

• Predict team failure points before they rupture

• Stretch cognition at speed through immersive orchestration

• Translate insight into mission rehearsal and system design

Here, learning and leading converge, not in hindsight, but predictive rhythm.

Whether you're building simulation logic, leading dynamic teams, or designing the next chapter of adaptive strategy, Part 2 offers the tools to think ahead at operational tempo.

Advanced Draft 

'Becoming Adaptive - Part 2' has eleven chapters with front matter and back matter structures that mirror Part 1.

31 August 2025 Update: 

• New Chapter 11 added and a rewrite/restructure of Chapter 3

• Chapters 1 to 5 formatting and review complete (flow, arcs, bridges etc.)

• All chapters - illustrations completed

• Chapters 6 to 11 formatting now mirrors Chapters 1 to 5

• Glossary of Terms updated 

Still to do: 

• Add and label illustrations

• Review Chapters 6 to 11 (flow, arcs, bridges etc.)

• Build and add Index to back matter

• Formatting for paperback and hardback releases

• Final reviews and edits

Part 2's new updated Glossary of Terms has 91 entries that support the full Becoming Adaptive journey. This consolidated glossary brings together the foundational concepts introduced in Part 1 with the advanced constructs developed in Part 2. It offers a single source of truth, spanning cognitive scaffolding, behavioural telemetry, adaptive feedback loops, and field-level applications. Whether readers are revisiting core ideas or exploring new diagnostic and orchestration layers, this glossary will provide a coherent, system-wide reference for the ION Learning Model.