Publication - An Ensemble Learning and Problem-Solving Architecture for Airspace Management

Authors: Zhang, Xiaoqin; Yoon, S.; DiBona, P.; Appling, D.S.; Ding, L.; Doppa, J.R.; Green, D.; Guo, J.K.; Kuter, U.; Levine, G.; MacTavish, R.L.; McFarlane, D.; Michaelis, J.R.; Mostafa, Hala; Ontañón, S.; Parker, C.; Radhakrishnan, J.; Rebguns, A.; Shrestha, B.; Song, Z.; Trewhitt, E.B.; Zafar, Huzaifa; Zhang, Chongjie; Corkill, Daniel; DeJong, G.; Dietterich, T.G.; Kambhampati, S.; Lesser, Victor; et al.
Title: An Ensemble Learning and Problem-Solving Architecture for Airspace Management
Abstract: In this paper we describe the application of a novel learning and problem-solving architecture to the domain of airspace management, where multiple requests for the use of airspace need to be reconciled and managed automatically. The key feature of our “Generalized Integrated Learning Architecture” (GILA) is a set of integrated learning and reasoning (ILR) systems coordinated by a central meta-reasoning executive (MRE). Each ILR learns independently from the same training example and contributes to problem solving in concert with other ILRs as directed by the MRE. Formal evaluations show that our system performs as well as or better than humans after learning from the same training data. Further, GILA outperforms any individual ILR run in isolation, thus demonstrating the power of the ensemble architecture for learning and problem solving.
Publication: Proceedings of Twenty-First Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-09), pp. 203 - 210
Location: Pasadena, CA
Date: 2009
Sources: PDF: /Documents/GILA_IAAI.pdf
Reference: Zhang, Xiaoqin; Yoon, S.; DiBona, P.; Appling, D.S.; Ding, L.; Doppa, J.R.; Green, D.; Guo, J.K.; Kuter, U.; Levine, G.; MacTavish, R.L.; McFarlane, D.; Michaelis, J.R.; Mostafa, Hala; Ontañón, S.; Parker, C.; Radhakrishnan, J.; Rebguns, A.; Shrestha, B.; Song, Z.; Trewhitt, E.B.; Zafar, Huzaifa; Zhang, Chongjie; Corkill, Daniel; DeJong, G.; Dietterich, T.G.; Kambhampati, S.; Lesser, Victor; et al.. An Ensemble Learning and Problem-Solving Architecture for Airspace Management. Proceedings of Twenty-First Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-09), pp. 203-210. 2009.
bibtex: 
@inproceedings{Zhang-468,
  author    = "Xiaoqin Zhang and S. Yoon and P. DiBona and D.S.
               Appling and L. Ding and J.R. Doppa and D. Green
               and J.K. Guo and U. Kuter and G. Levine and R.L.
               MacTavish and D. McFarlane and J.R. Michaelis and
               Hala Mostafa and S. Ontañón and C. Parker and J.
               Radhakrishnan and A. Rebguns and B. Shrestha and
               Z. Song and E.B. Trewhitt and Huzaifa Zafar and
               Chongjie Zhang and Daniel Corkill and G. DeJong
               and T.G. Dietterich and S. Kambhampati and Victor
               Lesser and et al.",
  title     = "{An Ensemble Learning and Problem-Solving
               Architecture for Airspace Management}",
  booktitle = "Proceedings of Twenty-First Annual Conference on
               Innovative Applications of Artificial Intelligence
               (IAAI-09)",
  pages     = "203-210",
  year      = "2009",
  address   = "Pasadena, CA",
  url       = "http://mas.cs.umass.edu/paper/468",
}