Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbZustand: New. In.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 115,49
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
EUR 147,14
Anzahl: 4 verfügbar
In den WarenkorbZustand: New. pp. 676.
Taschenbuch. Zustand: Neu. Physicomimetics | Physics-Based Swarm Intelligence | William M. Spears (u. a.) | Taschenbuch | xxx | Englisch | 2014 | Springer | EAN 9783642448638 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer-Verlag New York Inc, 2014
ISBN 10: 3642448631 ISBN 13: 9783642448638
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 158,42
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In den WarenkorbPaperback. Zustand: Brand New. 2012 edition. 671 pages. 9.20x6.10x1.50 inches. In Stock.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2014
ISBN 10: 3642448631 ISBN 13: 9783642448638
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Standard approaches to understanding swarms rely on inspiration from biology and are generally covered by the term 'biomimetics'. This book focuses on a different, complementary inspiration, namely physics. The editors have introduced the term 'physicomimetics' to refer to physics-based swarm approaches, which offer two advantages. First, they capture the notion that 'nature is lazy', meaning that physics-based systems always perform the minimal amount of work necessary, which is an especially important advantage in swarm robotics. Second, physics is the most predictive science, and can reduce complex systems to simple concepts and equations that codify emergent behavior and help us to design and understand swarms. The editors consolidated over a decade of work on swarm intelligence and swarm robotics, organizing the book into 19 chapters as follows. Part I introduces the concept of swarms and offers the reader a physics tutorial; Part II deals with applications of physicomimetics, in order of increased complexity; Part III examines the hardware requirements of the presented algorithms and demonstrates real robot implementations; Part IV demonstrates how the theory can be used to design swarms from first principles and provides a novel algorithm that handles changing environments; finally, Part V shows that physicomimetics can be used for function optimization, moving the reader from issues of swarm robotics to swarm intelligence. The text is supported with a downloadable package containing simulation code and videos of working robots. This book is suitable for talented high school and undergraduate students, as well as researchers and graduate students in the areas of artificial intelligence and robotics.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2012
ISBN 10: 3642228038 ISBN 13: 9783642228032
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Standard approaches to understanding swarms rely on inspiration from biology and are generally covered by the term 'biomimetics'. This book focuses on a different, complementary inspiration, namely physics. The editors have introduced the term 'physicomimetics' to refer to physics-based swarm approaches, which offer two advantages. First, they capture the notion that 'nature is lazy', meaning that physics-based systems always perform the minimal amount of work necessary, which is an especially important advantage in swarm robotics. Second, physics is the most predictive science, and can reduce complex systems to simple concepts and equations that codify emergent behavior and help us to design and understand swarms. The editors consolidated over a decade of work on swarm intelligence and swarm robotics, organizing the book into 19 chapters as follows. Part I introduces the concept of swarms and offers the reader a physics tutorial; Part II deals with applications of physicomimetics, in order of increased complexity; Part III examines the hardware requirements of the presented algorithms and demonstrates real robot implementations; Part IV demonstrates how the theory can be used to design swarms from first principles and provides a novel algorithm that handles changing environments; finally, Part V shows that physicomimetics can be used for function optimization, moving the reader from issues of swarm robotics to swarm intelligence. The text is supported with a downloadable package containing simulation code and videos of working robots. This book is suitable for talented high school and undergraduate students, as well as researchers and graduate students in the areas of artificial intelligence and robotics.
Sprache: Englisch
Verlag: Springer-Verlag New York Inc, 2012
ISBN 10: 3642228038 ISBN 13: 9783642228032
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 160,15
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 2012 edition. 673 pages. 9.00x6.00x1.50 inches. In Stock.
Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 676 | Sprache: Englisch | Produktart: Bücher | Standard approaches to understanding swarms rely on inspiration from biology and are generally covered by the term ¿biomimetics¿. This book focuses on a different, complementary inspiration, namely physics. The editors have introduced the term 'physicomimetics' to refer to physics-based swarm approaches, which offer two advantages. First, they capture the notion that ¿nature is lazy', meaning that physics-based systems always perform the minimal amount of work necessary, which is an especially important advantage in swarm robotics. Second, physics is the most predictive science, and can reduce complex systems to simple concepts and equations that codify emergent behavior and help us to design and understand swarms. The editors consolidated over a decade of work on swarm intelligence and swarm robotics, organizing the book into 19 chapters as follows. Part I introduces the concept of swarms and offers the reader a physics tutorial; Part II deals with applications of physicomimetics, in order of increased complexity; Part III examines the hardware requirements of the presented algorithms and demonstrates real robot implementations; Part IV demonstrates how the theory can be used to design swarms from first principles and provides a novel algorithm that handles changing environments; finally, Part V shows that physicomimetics can be used for function optimization, moving the reader from issues of swarm robotics to swarm intelligence. The text is supported with a downloadable package containing simulation code and videos of working robots. This book is suitable for talented high school and undergraduate students, as well as researchers and graduate students in the areas of artificial intelligence and robotics.