Condition: As New. Unread book in perfect condition.
Condition: New.
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. pp. 206.
Language: English
Published by Taylor and Francis Ltd, GB, 2020
ISBN 10: 0367571331 ISBN 13: 9780367571337
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. Behavior Trees (BTs) provide a way to structure the behavior of an artificial agent such as a robot or a non-player character in a computer game. Traditional design methods, such as finite state machines, are known to produce brittle behaviors when complexity increases, making it very hard to add features without breaking existing functionality. BTs were created to address this very problem, and enables the creation of systems that are both modular and reactive. Behavior Trees in Robotics and AI: An Introduction provides a broad introduction as well as an in-depth exploration of the topic, and is the first comprehensive book on the use of BTs.This book introduces the subject of BTs from simple topics, such as semantics and design principles, to complex topics, such as learning and task planning. For each topic, the authors provide a set of examples, ranging from simple illustrations to realistic complex behaviors, to enable the reader to successfully combine theory with practice.Starting with an introduction to BTs, the book then describes how BTs relate to, and in many cases, generalize earlier switching structures, or control architectures. These ideas are then used as a foundation for a set of efficient and easy to use design principles. The book then presents a set of important extensions and provides a set of tools for formally analyzing these extensions using a state space formulation of BTs. With the new analysis tools, the book then formalizes the descriptions of how BTs generalize earlier approaches and shows how BTs can be automatically generated using planning and learning. The final part of the book provides an extended set of tools to capture the behavior of Stochastic BTs, where the outcomes of actions are described by probabilities. These tools enable the computation of both success probabilities and time to completion.This book targets a broad audience, including both students and professionals interested in modeling complex behaviors for robots, game characters, or other AI agents. Readers can choose at which depth and pace they want to learn the subject, depending on their needs and background.
Condition: New. pp. 206.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 58.60
Quantity: Over 20 available
Add to basketCondition: New. In.
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. pp. 206.
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 208 pages. 9.21x6.14x0.43 inches. In Stock.
Condition: As New. Unread book in perfect condition.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Condition: New.
Language: English
Published by Taylor & Francis Group, 2018
ISBN 10: 1138593737 ISBN 13: 9781138593732
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New.
Language: English
Published by Taylor & Francis Group, 2018
ISBN 10: 1138593737 ISBN 13: 9781138593732
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 192 pages. 9.50x6.50x0.75 inches. In Stock.
Language: English
Published by Taylor & Francis Group, 2018
ISBN 10: 1138593737 ISBN 13: 9781138593732
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New.
Language: English
Published by Taylor and Francis Ltd, GB, 2020
ISBN 10: 0367571331 ISBN 13: 9780367571337
Seller: Rarewaves.com UK, London, United Kingdom
Paperback. Condition: New. Behavior Trees (BTs) provide a way to structure the behavior of an artificial agent such as a robot or a non-player character in a computer game. Traditional design methods, such as finite state machines, are known to produce brittle behaviors when complexity increases, making it very hard to add features without breaking existing functionality. BTs were created to address this very problem, and enables the creation of systems that are both modular and reactive. Behavior Trees in Robotics and AI: An Introduction provides a broad introduction as well as an in-depth exploration of the topic, and is the first comprehensive book on the use of BTs.This book introduces the subject of BTs from simple topics, such as semantics and design principles, to complex topics, such as learning and task planning. For each topic, the authors provide a set of examples, ranging from simple illustrations to realistic complex behaviors, to enable the reader to successfully combine theory with practice.Starting with an introduction to BTs, the book then describes how BTs relate to, and in many cases, generalize earlier switching structures, or control architectures. These ideas are then used as a foundation for a set of efficient and easy to use design principles. The book then presents a set of important extensions and provides a set of tools for formally analyzing these extensions using a state space formulation of BTs. With the new analysis tools, the book then formalizes the descriptions of how BTs generalize earlier approaches and shows how BTs can be automatically generated using planning and learning. The final part of the book provides an extended set of tools to capture the behavior of Stochastic BTs, where the outcomes of actions are described by probabilities. These tools enable the computation of both success probabilities and time to completion.This book targets a broad audience, including both students and professionals interested in modeling complex behaviors for robots, game characters, or other AI agents. Readers can choose at which depth and pace they want to learn the subject, depending on their needs and background.
Seller: moluna, Greven, Germany
Gebunden. Condition: New. Michele Colledanchise is currently a postdoctoral researcher in the iCub Facility at the Italian Institute of Technology, Genoa, Italy. He received his Ph.D. degree in computer science from the Royal Institute of Technology (KTH), Stockh.
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Michele Colledanchise is currently a postdoctoral researcher in the iCub Facility at the Italian Institute of Technology, Genoa, Italy. He received his Ph.D. degree in computer science from the Royal Institute of Technology (KTH), Stockh.