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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Veröffentlicht in:Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02 Jg. 2; S. 100 - 103
Hauptverfasser: Liu, Jiming, Gao, Chao, Zhong, Ning
Format: Tagungsbericht
Sprache:Englisch
Japanisch
Veröffentlicht: Washington, DC, USA IEEE Computer Society 2009
IEEE
Schriftenreihe:ACM Conferences
Schlagworte:
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-Zugang:Volltext
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Beschreibung
Zusammenfassung: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.
ISBN:0769538010
9780769538013
DOI:10.1109/WI-IAT.2009.136