A Swarm-Based Learning Method Inspired by Social Insects

Authors:
Xiaoxian He;Yunlong Zhu;Kunyuan Hu;Ben Niu
Affiliations:
Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, and Graduate school of the Chinese Academy of Sciences, Beijing,;Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang,;Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang,;Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, and Graduate school of the Chinese Academy of Sciences, Beijing,
Venue:
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Year:
2009

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Abstract

Inspired by cooperative transport behaviors of ants, on the basis of Q-learning, a new learning method, Neighbor-Information-Reference (NIR) learning method, is present in the paper. This is a swarm-based learning method, in which principles of swarm intelligence are strictly complied with. In NIR learning, the i-interval neighbor's information, namely its discounted reward, is referenced when an individual selects the next state, so that it can make the best decision in a computable local neighborhood. In application, different policies of NIR learning are recommended by controlling the parameters according to time-relativity of concrete tasks. NIR learning can remarkably improve individual efficiency, and make swarm more "intelligent".