By Gabriele Valentini

This booklet specializes in the layout and research of collective decision-making thoughts for the best-of-n problem. After supplying a formalization of the constitution of the best-of-n problem supported via a finished survey of the swarm robotics literature, it introduces the functioning of a collective decision-making process and identifies a suite of mechanisms which are crucial for a method to resolve the best-of-n problem. The best-of-n problem is an abstraction that captures the widespread requirement of a robotic swarm to settle on one alternative from of a finite set whilst optimizing benefits and prices. The ebook leverages the identification of those mechanisms to boost a modular and model-driven method to layout collective decision-making concepts and to investigate their functionality at assorted point of abstractions. finally, the writer offers a sequence of case stories within which the proposed method is used to layout assorted thoughts, utilizing robotic experiments to teach how the designed thoughts will be ported to various software scenarios.

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