Titlebook: Collectives and the Design of Complex Systems; Kagan Tumer,David Wolpert Book 2004 Springer Science+Business Media New York 2004 algorithm

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Effects of Interagent Communications on the Collective,n override the global information source and thus completely change the evolution of the collective compared to the nonnetworked situation. In addition, we show that when trait diversity is low, namely when the agents‘ action space is severely limited, the overall stability of “leader agents” is improved.

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William N. Levine MD,Steven Aviles MDlted in world utility values up to orders of magnitude superior to that ensuing from use of the team game utility. In this chapter we introduce a formal mathematics for analyzing and designing collectives. We also use this mathematics to suggest new private utilities that should outperform the COIN

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https://doi.org/10.1007/978-0-387-21689-8ome sort of analogy with economic systems. Here it is supposed that the local agents compete for some scarce resource (bandwidth in the case of agents whose job it is to transmit information, or fluid pressure in the case of those agents whose job it is to regulate oil flow), possibly by a bidding m

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https://doi.org/10.1007/978-0-387-21689-8control, relies on local interactions among many simple agents to create desirable collective behavior. The second approach allows collectives to maximize their world utility using market-based mechanisms. We present two applications—foraging in a group of robots and resource allocation in dynamic e

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