TY - GEN
T1 - An autonomy-oriented paradigm for self-organized computing
AU - Liu, Jiming
AU - Gao, Chao
AU - Zhong, Ning
PY - 2009
Y1 - 2009
N2 - A bottom-up computing paradigm, namely Autonomy-Oriented Computing (AOC), offers some principles and mechanisms for non-linearly solving computationally hard problems. The goal of this paper is to describe how AOC-based emergent computing can be realized in large-scale, dynamic, distributed and/or decentralized networks. A case study is given to demonstrate the main process and contribution of self-organization, the core of AOC, in a distributed local search algorithm.
AB - A bottom-up computing paradigm, namely Autonomy-Oriented Computing (AOC), offers some principles and mechanisms for non-linearly solving computationally hard problems. The goal of this paper is to describe how AOC-based emergent computing can be realized in large-scale, dynamic, distributed and/or decentralized networks. A case study is given to demonstrate the main process and contribution of self-organization, the core of AOC, in a distributed local search algorithm.
UR - https://www.scopus.com/pages/publications/84863116865
U2 - 10.1109/WI-IAT.2009.136
DO - 10.1109/WI-IAT.2009.136
M3 - 会议稿件
AN - SCOPUS:84863116865
SN - 9780769538013
T3 - Proceedings - 2009 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2009
SP - 100
EP - 103
BT - Proceedings - 2009 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2009
T2 - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2009
Y2 - 15 September 2009 through 18 September 2009
ER -