TY - CHAP
T1 - Decentralized multi-agent clustering in scale-free sensor networks
AU - Piraveenan, Mahendra
AU - Prokopenko, Mikhail
AU - Wang, Peter
AU - Zeman, Astrid
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=44849119466&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-78293-3_12
DO - 10.1007/978-3-540-78293-3_12
M3 - Chapter
AN - SCOPUS:44849119466
SN - 9783540782926
VL - 115
T3 - Studies in Computational Intelligence
SP - 485
EP - 515
BT - Computational Intelligence: A Compendium
A2 - Fulcher, John
A2 - Jain, Lakhmi C.
PB - Springer, Springer Nature
CY - Berlin
ER -