Improving data collection in complex networks with failure-prone agents via local marking-Reference-Cited by-同舟云学术

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Improving data collection in complex networks with failure-prone agents via local marking

Published:2019-05-14 Issue:5 Volume:36 Page:5081-5089
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Rodríguez Arles¹,Botina Nathaly²,Gómez Jonatan³,Diaconescu Ada⁴

Affiliation:

1. Fundación Universitaria Konrad Lorenz, ALIFE Research Group Universidad Nacional de Colombia, Bogotá, Colombia

2. Fundación Universitaria Konrad Lorenz, Bogotá, Colombia

3. ALIFE Research Group, Universidad Nacional de Colombia, Bogotá, Colombia

4. Telecom ParisTech, LTCI, IMT, Paris, France

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference24 articles.

1. An introduction to multi-agent systems;Balaji;Studies in Computational Intelligence,2010

2. Scale-free networks;Barabási;Scientific American,2003

3. Ant colony system: A cooperative learning approach to the traveling salesman problem;Dorigo;IEEE Transactions on Evolutionary Computation,1997

4. Dorigo M. and Stutzle T. , Ant colony optimization, volume 1, MIT Press, 2004.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reinforcement Learning Made Affordable for Hardware Verification Engineers;Micromachines;2022-11-01

2. A decentralised self-healing approach for network topology maintenance;Autonomous Agents and Multi-Agent Systems;2020-11-27

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