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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| Vydáno 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 autoři: | , , |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina japonština |
| Vydáno: |
Washington, DC, USA
IEEE Computer Society
2009
IEEE |
| Edice: | ACM Conferences |
| Témata: |
Computing methodologies
> Artificial intelligence
> Distributed artificial intelligence
> Cooperation and coordination
Computing methodologies
> Modeling and simulation
> Model development and analysis
> Model verification and validation
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| ISBN: | 0769538010, 9780769538013 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | 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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| ISBN: | 0769538010 9780769538013 |
| DOI: | 10.1109/WI-IAT.2009.136 |

