foreword by Lashon Booker To program an autonomous robot to act reliably in a dynamic environment is a complex task. The dynamics of the environment are unpredictable, and the robots' sensors provide noisy input. A learning autonomous robot, one that can acquire knowledge through interaction with its environment and then adapt its behavior, greatly simplifies the designer's work. A learning robot need not be given all of the details of its environment, and its sensors and actuators need not be finely tuned.Robot Shaping is about designing and building learning autonomous robots. The term "shaping" comes from experimental psychology, where it describes the incremental training of animals. The authors propose a new engineering discipline, "behavior engineering," to provide the methodologies and tools for creating autonomous robots. Their techniques are based on classifier systems, a reinforcement learning architecture originated by John Holland, to which they have added several new ideas, such as "mutespec," classifier system "energy," and dynamic population size. In the book they present Behavior Analysis and Training (BAT) as an example of a behavior engineering methodology.
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"[This] book gives a clear and comprehensive exposition of[the authors] extensive experience in integrating reinforcement learning and autonomous robotics. Their continuing contribution is to the development of a distinct engineering discipline(`Behavior engineering') through which such robots can be created. I am excited because their efforts combine some of the best theoretical ideaswith a strong eye for the practical - for what will actually work." Stewart W. Wilson , The Rowland Institute for Science
About the Author
Marco Dorigo is research director of the IRIDIA lab at the Université Libre de Bruxelles and the inventor of the Ant Colony Optimization metaheuristic for combinatorial optimization problems.
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
- Learning Classifier Systems: 5th International Workshop, IWLCS 2002, Granada, Spain, September 7-8, 2002, Revised Papers (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) by Pier Luca Lanzi in Back Matter (1), Back Matter (2), and Back Matter (3)
- Learning Classifier Systems: From Foundations to Applications (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) by Pier L. Lanzi on page 28, page 54, and Back Matter
- Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer (Intelligent Robotics and Autonomous Agents) by Peter Stone in Front Matter
- Strategic Negotiation in Multiagent Environments (Intelligent Robotics and Autonomous Agents) by Sarit Kraus in Front Matter
- Reasoning about Rational Agents (Intelligent Robotics and Autonomous Agents) by Michael Wooldridge in Front Matter
See all 16 books citing this book
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