A Swarm-Based Learning Method Inspired by Social Insects
- Cite this paper as:
- He X., Zhu Y., Hu K., Niu B. (2007) A Swarm-Based Learning Method Inspired by Social Insects. In: Huang DS., Heutte L., Loog M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2007. Lecture Notes in Computer Science, vol 4682. Springer, Berlin, Heidelberg
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”.
KeywordsNeighbor-Information-Reference (NIR) learning i-interval neighbor discounted reward Q-learning swarm intelligence
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