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By Gabriele Valentini

ISBN-10: 3319536087

ISBN-13: 9783319536088

This booklet makes a speciality of the layout and research of collective decision-making innovations for the best-of-n problem. After delivering a formalization of the constitution of the best-of-n problem supported through a complete survey of the swarm robotics literature, it introduces the functioning of a collective decision-making approach and identifies a collection of mechanisms which are crucial for a method to unravel the best-of-n problem. The best-of-n problem is an abstraction that captures the common requirement of a robotic swarm to decide on one alternative from of a finite set whilst optimizing benefits and prices. The booklet leverages the identification of those mechanisms to strengthen a modular and model-driven method to layout collective decision-making ideas and to investigate their functionality at diversified point of abstractions. finally, the writer offers a chain of case experiences during which the proposed method is used to layout various thoughts, utilizing robotic experiments to teach how the designed thoughts might be ported to diverse software scenarios.

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Achieving Consensus in Robot Swarms: Design and Analysis of Strategies for the best-of-n Problem (Studies in Computational Intelligence) by Gabriele Valentini


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