Abstract
In this paper, a decentralized group formation algorithm for task allocation in complex adaptive systems is proposed. Compared with current related works, this decentralized algorithm takes system architectures into account and allows not only neighboring agents but also indirect linked agents in the system to help with a task. A system adaptation strategy is also developed for discovering effective system structures for task allocation. Moreover, a set of experiments was conducted to demonstrate the efficiency of our methods.
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Ye, D., Zhang, M., Sutanto, D. (2010). DGF: Decentralized Group Formation for Task Allocation in Complex Adaptive Systems. In: Bai, Q., Fukuta, N. (eds) Advances in Practical Multi-Agent Systems. Studies in Computational Intelligence, vol 325. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16098-1_1
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DOI: https://doi.org/10.1007/978-3-642-16098-1_1
Publisher Name: Springer, Berlin, Heidelberg
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