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Achieving Consensus in Robot Swarms Design and Analysis of Strategies for the best of n Problem

Release: Achieving.Consensus.in.Robot.Swarms.Design.and.Analysis.of.Strategies.for.the.best.of.n.Problem

  • Sprache: Englisch
  • Format: rar
  • Hits: 36
  • Größe: 5 MB
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Beschreibung

Achieving Consensus in Robot Swarms: Design and
Analysis of Strategies for the best - of - n Problem
(Studies in Computational Intelligence) by Gabriele
Valentini
English | 16 Mar. 2017 | ISBN: 3319536087 | 146 Pages |
PDF | 5.2 MB
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
identi?es 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 ?nite set when optimizing bene?ts and costs. The
book leverages the identi?cation 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.
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Achieving Consensus in Robot Swarms Design and Analysis of Strategies for the best of n Problem

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