Collectives for the Optimal Combination of Imperfect Objects

dc.creatorTumer, Kagan
dc.creatorWolpert, David
dc.date2003-01-23
dc.date.accessioned2026-07-07T02:49:19Z
dc.date.available2026-07-07T02:49:19Z
dc.descriptionIn this letter we summarize some recent theoretical work on the design of collectives, i.e., of systems containing many agents, each of which can be viewed as trying to maximize an associated private utility, where there is also a world utility rating the behavior of that overall system that the designer of the collective wishes to optimize. We then apply algorithms based on that work on a recently suggested testbed for such optimization problems (Challet & Johnson, PRL, vol 89, 028701 2002). This is the problem of finding the combination of imperfect nano-scale objects that results in the best aggregate object. We present experimental results showing that these algorithms outperform conventional methods by more than an order of magnitude in this domain.
dc.description4 pages
dc.identifierhttps://arxiv.org/abs/cond-mat/0301459
dc.identifierhttp://arxiv.org/abs/cond-mat/0301459
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/20751
dc.subjectDisordered Systems and Neural Networks
dc.subjectStatistical Mechanics
dc.subjectMultiagent Systems
dc.subjectAdaptation and Self-Organizing Systems
dc.titleCollectives for the Optimal Combination of Imperfect Objects
dc.typetext

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