Negative updating applied to the best-of-n problem with noisy qualities
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DOI: 10.1007/s11721-021-00188-4
Abstract: The ability to perform well in the presence of noise is an important consideration when evaluating the effectiveness of a collective decision-making framework. Any system deployed for real-world applications will have to perform well in… read more here.
Keywords: noisy; best problem; negative updating; updating applied ... See more keywords
Collective preference learning in the best-of-n problem
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DOI: 10.1007/s11721-021-00191-9
Abstract: Decentralised autonomous systems rely on distributed learning to make decisions and to collaborate in pursuit of a shared objective. For example, in swarm robotics the best-of- n problem is a well-known collective decision-making problem in… read more here.
Keywords: best problem; collective preference; preference learning; model ... See more keywords