This book focuses on how the BOXES Methodology, which is based on the work of Donald Michie, is applied to ill-defined real-time control systems with minimal a priori knowledge of the system.
David W. Russell, Ph.D, FIMechE, is a Professor Emeritus of Electrical Engineering at Penn State Great Valley, Pennsylvania, USA. His research interests include: applications of artificial intelligence (AI) to real-time, poorly defined control systems, systems engineering, factory information systems, philosophy of machine intelligence, and chaos theory and applications. He has lectured worldwide for many years and has over 30 papers based around the BOXES methodology.
Innehållsförteckning
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.