Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull?autore
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Robot Shaping: An Experiment in Behavior Engineering (Intelligent Robotics and Autonomous Agents)
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Robot Shaping: An Experiment in Behavior Engineering (Intelligent Robotics and Autonomous Agents)
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Robot Shaping: An Experiment in Behavior Engineering
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The MIT Press, 1998,, 1998
ISBN 10: 0262041642
ISBN 13: 9780262041645
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Robot Shaping. An experiment in behavior engineering.
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Cambridge-London, Bradford Book [MIT Press]. . 1998, 1997
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Robot shaping an experiment in behavior engineering Marco Dorigo and Marco Colombetti. Intelligent robotics and autonomous agents; A Bradford book.
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Cambridge Mass. , The MIT Press, 1998
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Robot Shaping: An Experiment in Behavior Engineering
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Robot shaping : an experiment in behavior engineering
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Condizione: as new. Foreword by Lashon Booker. Cambridge, Mass. : MIT Press, 1998. Hardcover. Dustjacket. xviii, 203 pp. - 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. Condition : as new copy. ISBN 9780262041645. Keywords : COMPUTER STUDIES, robotics. Codice articolo 287753
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Robot Shaping: An Experiment in Behavior Engineering (Intelligent Robotics and Autonomous Agents)
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