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Overview"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 behaviour, 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. This book 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, ""behaviour 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 Behaviour Analysis and Training (BAT) as an example of a behaviour engineering methodology." Full Product DetailsAuthor: Marco Dorigo (Directeur de Recherches du FNRS, Université Libre de Bruxelles) , Marco ColombettiPublisher: MIT Press Ltd Imprint: MIT Press Dimensions: Width: 18.00cm , Height: 2.70cm , Length: 22.90cm Weight: 0.612kg ISBN: 9780262041645ISBN 10: 0262041642 Pages: 221 Publication Date: 06 November 1997 Recommended Age: From 18 Audience: College/higher education , Professional and scholarly , Undergraduate , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: No Longer Our Product Availability: Out of stock ![]() The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available. Table of ContentsReviews[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 ideas with a strong eye for the practical - for what will actually work. --Stewart W. Wilson, The Rowland Institute for Science Author Information"Marco Dorigo is a research director of the FNRS, the Belgian National Funds for Scientific Research, and co-director of IRIDIA, the artificial intelligence laboratory of the Université Libre de Bruxelles. He is the inventor of the ant colony optimization metaheuristic. His current research interests include swarm intelligence, swarm robotics, and metaheuristics for discrete optimization. He is the Editor-in-Chief of Swarm Intelligence, and an Associate Editor or member of the Editorial Boards of many journals on computational intelligence and adaptive systems. Dr. Dorigo is a Fellow of the ECCAI and of the IEEE. He was awarded the Italian Prize for Artificial Intelligence in 1996, the Marie Curie Excellence Award in 2003, the Dr. A. De Leeuw-Damry-Bourlart award in applied sciences in 2005, the Cajastur ""Mamdani"" International Prize for Soft Computing in 2007, and an ERC Advanced Grant in 2010." Tab Content 6Author Website:Countries AvailableAll regions |