Über den Autor
David W. Russell, Ph.D, C.Eng, FBCS, FIET, FIMechE, is a Professor 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.
Chapter 1: Introduction.- Part I: Learning and Artificial Intelligence (AI).- Chapter 2: The Game Metaphor.- Chapter 3: Introduction to BOXES.- Chapter 4: Dynamic control as a game.- Part II: The Trolley and Pole.- Chapter 5: Control of a simulated inverted pendulum using the BOXES method.- Chapter 6: The Liverpool experiment.- Chapter 7: Solving the auto-start dilemma.- Part III: Other BOXES applications.- Chapter 8: Continuous system control.- Chapter 9: Other on/off control case studies.- Chapter 10: Two non-linear applications.- Part IV: Improving the Algorithm.- Chapter 11: Accelerated learning.- Chapter 12: Two advising paradigms.- Chapter 13: Evolutionary studies research.- Chapter 14: Conclusions
Suggests a generic BOXES coefficient that would make the system almost completely application-independentHighlights potential flaws in the systemDescribes how system flaws can be mitigated