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Cover: 9783319536088 | Achieving Consensus in Robot Swarms | Gabriele Valentini | Buch | xiv
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Achieving Consensus in Robot Swarms
Design and Analysis of Strategies for the best-of-n Problem
Buch von Gabriele Valentini
Sprache: Englisch

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Beschreibung
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, usingrobot experiments to show how the designed strategies can be ported to different application scenarios.
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, usingrobot experiments to show how the designed strategies can be ported to different application scenarios.
Zusammenfassung

Covers collective decision-making strategies for robot swarms

Focuses on the design of self-organized solutions to the best-of-n problem-the problem of deciding which alternative among a finite set of options is the most beneficial choice for the swarm

Deals with both theoretical and experimental aspects of collective decision-making and includes the results of experiments performed with a swarm of 100 robots

Includes supplementary material: [...]

Inhaltsverzeichnis
Introduction.- Part 1:Background and Methodology.- Discrete Consensus Achievement in Arti¿cial Systems.- Modular Design of Strategies for the Best-of-n Problem.- Part 2:Mathematical Modeling and Analysis.- Indirect Modulation of Majority-Based Decisions.- Direct Modulation of Voter-Based Decisions.- Direct Modulation of Majority-Based Decisions.- Part 3:Robot Experiments.- A Robot Experiment in Site Selection.- A Robot Experiment in Collective Perception.- Part 4:Discussion and Annexes.- Conclusions.- Background on Markov Chains.
Details
Erscheinungsjahr: 2017
Fachbereich: Technik allgemein
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Reihe: Studies in Computational Intelligence
Inhalt: xiv
146 S.
9 s/w Illustr.
37 farbige Illustr.
146 p. 46 illus.
37 illus. in color.
ISBN-13: 9783319536088
ISBN-10: 3319536087
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Valentini, Gabriele
Auflage: 1st ed. 2017
Hersteller: Springer Nature Switzerland
Springer International Publishing
Springer International Publishing AG
Studies in Computational Intelligence
Maße: 241 x 160 x 15 mm
Von/Mit: Gabriele Valentini
Erscheinungsdatum: 22.02.2017
Gewicht: 0,412 kg
Artikel-ID: 108497257
Zusammenfassung

Covers collective decision-making strategies for robot swarms

Focuses on the design of self-organized solutions to the best-of-n problem-the problem of deciding which alternative among a finite set of options is the most beneficial choice for the swarm

Deals with both theoretical and experimental aspects of collective decision-making and includes the results of experiments performed with a swarm of 100 robots

Includes supplementary material: [...]

Inhaltsverzeichnis
Introduction.- Part 1:Background and Methodology.- Discrete Consensus Achievement in Arti¿cial Systems.- Modular Design of Strategies for the Best-of-n Problem.- Part 2:Mathematical Modeling and Analysis.- Indirect Modulation of Majority-Based Decisions.- Direct Modulation of Voter-Based Decisions.- Direct Modulation of Majority-Based Decisions.- Part 3:Robot Experiments.- A Robot Experiment in Site Selection.- A Robot Experiment in Collective Perception.- Part 4:Discussion and Annexes.- Conclusions.- Background on Markov Chains.
Details
Erscheinungsjahr: 2017
Fachbereich: Technik allgemein
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Reihe: Studies in Computational Intelligence
Inhalt: xiv
146 S.
9 s/w Illustr.
37 farbige Illustr.
146 p. 46 illus.
37 illus. in color.
ISBN-13: 9783319536088
ISBN-10: 3319536087
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Valentini, Gabriele
Auflage: 1st ed. 2017
Hersteller: Springer Nature Switzerland
Springer International Publishing
Springer International Publishing AG
Studies in Computational Intelligence
Maße: 241 x 160 x 15 mm
Von/Mit: Gabriele Valentini
Erscheinungsdatum: 22.02.2017
Gewicht: 0,412 kg
Artikel-ID: 108497257
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