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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.

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