Many interaction processes in complex adaptive systems occur in groups, and in order to organize knowledge, collaboration and a proper distribution of functions and tasks, there is a need to analyze, model and develop computational systems in which several autonomous units interact, adapt and work together in a common open environment, combining individual strategies into overall behavior. The approach to engineering a desired system-level behavior, adopted in this work, is based on a multi-agent system [11], in which the preferred responses emerge as a result of inter-agent interactions. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Piraveenan, M., Prokopenko, M., Wang, P., & Zeman, A. (2008). Decentralized multi-agent clustering in scale-free sensor networks. Studies in Computational Intelligence, 115, 485–515. https://doi.org/10.1007/978-3-540-78293-3_12
Mendeley helps you to discover research relevant for your work.