An ensemble learning and problem solving architecture for airspace management

Xiaoqin Zhang; Sungwook Yoon; Phillip DiBona; Darren Scott Appling; Li Ding; Janardhan Rao Doppa; Derek Green; Jinhong K. Guo; Ugur Kuter; Geoff Levine; Reid L. MacTavish; Daniel McFarlane; James R. Michaelis; Hala Mostafa; Santiago Ontañón; Charles Parker; Jainarayan Radhakrishnan; Anton Rebguns; Bhavesh Shrestha; Zhexuan Song; Ethan B. Trewhitt; Huzaifa Zafar; Chongjie Zhang; Daniel Corkill; Gerald DeJong; Thomas G. Dietterich; Subbarao Kambhampati; Victor Lesser; Deborah L. McGuinness; Ashwin Ram; Diana Spears; Prasad Tadepalli; Elizabeth T. Whitaker; Weng Keen Wong; James A. Hendler; Martin O. Hofmann; Kenneth Whitebread

An ensemble learning and problem solving architecture for airspace management

Xiaoqin Zhang, Sungwook Yoon, Phillip DiBona, Darren Scott Appling, Li Ding, Janardhan Rao Doppa, Derek Green, Jinhong K. Guo, Ugur Kuter, Geoff Levine, Reid L. MacTavish, Daniel McFarlane, James R. Michaelis, Hala Mostafa, Santiago Ontañón, Charles Parker, Jainarayan Radhakrishnan, Anton Rebguns, Bhavesh Shrestha, Zhexuan SongEthan B. Trewhitt, Huzaifa Zafar, Chongjie Zhang, Daniel Corkill, Gerald DeJong, Thomas G. Dietterich, Subbarao Kambhampati, Victor Lesser, Deborah L. McGuinness, Ashwin Ram, Diana Spears, Prasad Tadepalli, Elizabeth T. Whitaker, Weng Keen Wong, James A. Hendler, Martin O. Hofmann, Kenneth Whitebread

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

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.

Original language	English (US)
Title of host publication	Proceedings of the 21st Innovative Applications of Artificial Intelligence Conference, IAAI-09
Pages	203-210
Number of pages	8
State	Published - 2009
Event	21st Innovative Applications of Artificial Intelligence Conference, IAAI-09 - Pasadena, CA, United States Duration: Jul 14 2009 → Jul 16 2009

Publication series

Name	Proceedings of the 21st Innovative Applications of Artificial Intelligence Conference, IAAI-09

Other

Other	21st Innovative Applications of Artificial Intelligence Conference, IAAI-09
Country/Territory	United States
City	Pasadena, CA
Period	7/14/09 → 7/16/09

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Computer Vision and Pattern Recognition

Cite this

Zhang, X., 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, H., Ontañón, S., Parker, C., Radhakrishnan, J., Rebguns, A., Shrestha, B., ... Whitebread, K. (2009). An ensemble learning and problem solving architecture for airspace management. In Proceedings of the 21st Innovative Applications of Artificial Intelligence Conference, IAAI-09 (pp. 203-210). (Proceedings of the 21st Innovative Applications of Artificial Intelligence Conference, IAAI-09).

An ensemble learning and problem solving architecture for airspace management. / Zhang, Xiaoqin; Yoon, Sungwook; DiBona, Phillip et al.
Proceedings of the 21st Innovative Applications of Artificial Intelligence Conference, IAAI-09. 2009. p. 203-210 (Proceedings of the 21st Innovative Applications of Artificial Intelligence Conference, IAAI-09).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhang, X, Yoon, S, DiBona, P, Appling, DS, Ding, L, Doppa, JR, Green, D, Guo, JK, Kuter, U, Levine, G, MacTavish, RL, McFarlane, D, Michaelis, JR, Mostafa, H, Ontañón, S, Parker, C, Radhakrishnan, J, Rebguns, A, Shrestha, B, Song, Z, Trewhitt, EB, Zafar, H, Zhang, C, Corkill, D, DeJong, G, Dietterich, TG, Kambhampati, S, Lesser, V, McGuinness, DL, Ram, A, Spears, D, Tadepalli, P, Whitaker, ET, Wong, WK, Hendler, JA, Hofmann, MO & Whitebread, K 2009, An ensemble learning and problem solving architecture for airspace management. in Proceedings of the 21st Innovative Applications of Artificial Intelligence Conference, IAAI-09. Proceedings of the 21st Innovative Applications of Artificial Intelligence Conference, IAAI-09, pp. 203-210, 21st Innovative Applications of Artificial Intelligence Conference, IAAI-09, Pasadena, CA, United States, 7/14/09.

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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.",

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AU - Doppa, Janardhan Rao

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AU - Trewhitt, Ethan B.

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AU - Corkill, Daniel

AU - DeJong, Gerald

AU - Dietterich, Thomas G.

AU - Kambhampati, Subbarao

AU - Lesser, Victor

AU - McGuinness, Deborah L.

AU - Ram, Ashwin

AU - Spears, Diana

AU - Tadepalli, Prasad

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ER -

An ensemble learning and problem solving architecture for airspace management

Abstract

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ASJC Scopus subject areas

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