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Viac informácií o knihe Achieving Consensus in Robot Swarms

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Anotácia knihy

This book focuses on the design and analysis of collective decision-making strategies for the best-of-n problem. After providing a formalization of the structure of the best-of-n problem supported by a comprehensive survey of the swarm robotics literature, it introduces the functioning of a collective decision-making strategy and identiżes a set of mechanisms that are essential for a strategy to solve the best-of-n problem. The best-of-n problem is an abstraction that captures the frequent requirement of a robot swarm to choose one option from of a żnite set when optimizing beneżts and costs. The book leverages the identiżcation of these mechanisms to develop a modular and model-driven methodology to design collective decision-making strategies and to analyze their performance at different level of abstractions. Lastly, the author provides a series of case studies in which the proposed methodology is used to design different strategies, using robot experiments to show how the designed strategies can be ported to different application scenarios.

Parametre knihy

Zaradenie knihy Knihy po anglicky Technology, engineering, agriculture Electronics & communications engineering Electronics engineering

• Celý názov: Achieving Consensus in Robot Swarms
• Autor: Gabriele Valentini
• Jazyk: Angličtina
• Väzba: Pevná
• Počet strán: 146
• EAN: 9783319536088
• ISBN: 3319536087
• ID: 15752760
• Nakladateľ: Springer International Publishing AG
• Hmotnosť: 3672 g
• Rozmery: 235 × 155 × 12 mm
• Dátum vydania: 22. February 2017

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