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• W2143647544 abstract "This paper proposes a new variant of the task allocation problem, where the agents are connected in a social network and tasks arrive at the agents distributed over the network. We show that the complexity of this problem remains NP-hard. Moreover, it is not approximable within some factor. We develop an algorithm based on the contract-net protocol. Our algorithm is completely distributed, and it assumes that agents have only local knowledge about tasks and resources. We conduct a set of experiments to evaluate the performance and scalability of the proposed algorithm in terms of solution quality and computation time. Three different types of networks, namely small-world, random and scale-free networks, are used to represent various social relationships among agents in realistic applications. The results demonstrate that our algorithm works well and that it scales well to large-scale applications." @default.
• W2143647544 created "2016-06-24" @default.
• W2143647544 creator A5020477343 @default.
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• W2143647544 date "2007-05-14" @default.
• W2143647544 modified "2023-10-17" @default.
• W2143647544 title "Distributed task allocation in social networks" @default.
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• W2143647544 doi "https://doi.org/10.1145/1329125.1329217" @default.
• W2143647544 hasPublicationYear "2007" @default.
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