By Gabriele Valentini
This ebook makes a speciality of the layout and research of collective decision-making ideas for the best-of-n challenge. After supplying a formalization of the constitution of the best-of-n challenge supported by way of a entire survey of the swarm robotics literature, it introduces the functioning of a collective decision-making approach and identiﬁes a suite of mechanisms which are crucial for a method to resolve the best-of-n challenge. The best-of-n challenge 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 ebook leverages the identiﬁcation of those mechanisms to enhance a modular and model-driven technique to layout collective decision-making recommendations and to investigate their functionality at assorted point of abstractions. finally, the writer presents a chain of case experiences during which the proposed technique is used to layout varied ideas, utilizing robotic experiments to teach how the designed recommendations should be ported to assorted program scenarios.
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Extra info for Achieving Consensus in Robot Swarms: Design and Analysis of Strategies for the best-of-n Problem
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