Introduction.- Part I: Learning and Artificial Intelligence (AI).- The Game Metaphor.- Introduction to BOXES.- Dynamic control as a game.- Part II: The Trolley and Pole.- Control of a simulated inverted pendulum using the BOXES method.- The Liverpool experiment.- Solving the auto-start dilemma.- Part III: Other BOXES applications.- Continuous system control.- Other on/off control case studies.- Two non-linear applications.- Part IV: Improving the Algorithm.- Accelerated learning.- Two advising paradigms.- Evolutionary studies research.- Part V: Further Thoughts.- Detecting and handling jitter.- Fully trained cells.- Solving the system aging paradox.- Part VI: Conclusion.