An Autonomy-Oriented Paradigm for Self-Organized Computing

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 d...

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Bibliographic Details
Published in:	Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02 Vol. 2; pp. 100 - 103
Main Authors:	Liu, Jiming, Gao, Chao, Zhong, Ning
Format:	Conference Proceeding
Language:	English Japanese
Published:	Washington, DC, USA IEEE Computer Society 2009 IEEE
Series:	ACM Conferences
Subjects:	Centralized control Chaos Computer networks Computing methodologies > Artificial intelligence > Distributed artificial intelligence > Cooperation and coordination Computing methodologies > Artificial intelligence > Planning and scheduling Computing methodologies > Artificial intelligence > Search methodologies Computing methodologies > Artificial intelligence > Search methodologies > Discrete space search Computing methodologies > Artificial intelligence > Search methodologies > Game tree search Computing methodologies > Machine learning > Machine learning approaches > Neural networks Computing methodologies > Modeling and simulation > Model development and analysis Computing methodologies > Modeling and simulation > Model development and analysis > Model verification and validation Computing methodologies > Modeling and simulation > Model development and analysis > Modeling methodologies Conferences Distributed computing Feedback Hardware > Emerging technologies > Circuit substrates > Cellular neural networks High performance computing Immune system Intelligent agent Large-scale systems Theory of computation > Theory and algorithms for application domains > Machine learning theory
ISBN:	0769538010, 9780769538013
Online Access:	Get full text
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