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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| Vydané v: | Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02 Ročník 2; s. 100 - 103 |
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| Hlavní autori: | , , |
| Médium: | Konferenčný príspevok.. |
| Jazyk: | English Japanese |
| Vydavateľské údaje: |
Washington, DC, USA
IEEE Computer Society
2009
IEEE |
| Edícia: | ACM Conferences |
| Predmet: |
Computing methodologies
> Artificial intelligence
> Distributed artificial intelligence
> Cooperation and coordination
Computing methodologies
> Modeling and simulation
> Model development and analysis
> Model verification and validation
|
| ISBN: | 0769538010, 9780769538013 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Gao, Chao Liu, Jiming Zhong, Ning |
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| PublicationTitle | Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02 |
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| Snippet | A bottom-up computing paradigm, namely Autonomy-Oriented Computing (AOC), offers some principles and mechanisms for non-linearly solving computationally hard... |
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| SubjectTerms | 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 |
| Title | An Autonomy-Oriented Paradigm for Self-Organized Computing |
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