An ensemble learning and problem solving architecture for airspace management

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Citation: Xiaoqin (Shelley) Zhangy,Sungwook Yoon,Phillip DiBona,Darren Scott Appling,Li Ding,Janardhan Rao Doppa,Derek Greenyy,Jinhong K. Guo,Ugur Kuter,Geoff Levine,Reid L. MacTavish,Daniel McFarlane,James R Michaelis,Hala Mostafa,Santiago Ontanon,Charles Parker,Jainarayan Radhakrishnan,Anton Rebgunsyy,Bhavesh Shresthay,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 Spearsyy,Prasad Tadepalli,Elizabeth T. Whitaker,Weng-Keen Wong,James A. Hendler,Martin O. Hofmann,Kenneth Whitebread. (2009) An Ensemble Learning and Problem Solving Architecture for Airspace Management. In IAAI'2009, 2009.

Publication inproceedings ( Edit )
type Conference Paper
bibtype inproceedings
Bibtex basics
author Xiaoqin (Shelley) Zhangy;Sungwook Yoon;Phillip DiBona;Darren Scott Appling;Li Ding;Janardhan Rao Doppa;Derek Greenyy;Jinhong K. Guo;Ugur Kuter;Geoff Levine;Reid L. MacTavish;Daniel McFarlane;James R Michaelis;Hala Mostafa;Santiago Ontanon;Charles Parker;Jainarayan Radhakrishnan;Anton Rebgunsyy;Bhavesh Shresthay;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 Spearsyy;Prasad Tadepalli;Elizabeth T. Whitaker;Weng-Keen Wong;James A. Hendler;Martin O. Hofmann;Kenneth Whitebread
title An Ensemble Learning and Problem Solving Architecture for Airspace Management
booktitle IAAI'2009
year 2009
Bibtex more
note the Twenty-first IAAI Conference on Artificial Intelligence will be held in Pasadena, California, July 14–16, 2009
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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.
pdf Tw-tr-2009-10.pdf
Facts about An ensemble learning and problem solving architecture for airspace managementRDF feed
Abstract In this paper we describe the application … 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. itecture for learning and problem solving.
Author Xiaoqin (Shelley) Zhangy  +, Sungwook Yoon  +, Phillip DiBona  +, Darren Scott Appling  +, Li Ding  +, Janardhan Rao Doppa  +, Derek Greenyy  +, Jinhong K. Guo  +, Ugur Kuter  +, Geoff Levine  +, Reid L. MacTavish  +, Daniel McFarlane  +, James R Michaelis  +, Hala Mostafa  +, Santiago Ontanon  +, Charles Parker  +, Jainarayan Radhakrishnan  +, Anton Rebgunsyy  +, Bhavesh Shresthay  +, 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 Spearsyy  +, Prasad Tadepalli  +, Elizabeth T. Whitaker  +, Weng-Keen Wong  +, James A. Hendler  +, Martin O. Hofmann  +, and Kenneth Whitebread  +
Bibtype inproceedings  +
Booktitle IAAI'2009  +
Has author Xiaoqin (Shelley) Zhangy  +, Sungwook Yoon  +, Phillip DiBona  +, Darren Scott Appling  +, Li Ding  +, Janardhan Rao Doppa  +, Derek Greenyy  +, Jinhong K. Guo  +, Ugur Kuter  +, Geoff Levine  +, Reid L. MacTavish  +, Daniel McFarlane  +, James R Michaelis  +, Hala Mostafa  +, Santiago Ontanon  +, Charles Parker  +, Jainarayan Radhakrishnan  +, Anton Rebgunsyy  +, Bhavesh Shresthay  +, 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 Spearsyy  +, Prasad Tadepalli  +, Elizabeth T. Whitaker  +, Weng-Keen Wong  +, James A. Hendler  +, Martin O. Hofmann  +, and Kenneth Whitebread  +
Has identifier TW-2009-10  +
Has publishing details 2009  +
Has title An Ensemble Learning and Problem Solving Architecture for Airspace Management  +
Has tr id TW-2009-10  +
Has where published IAAI'2009  +
Has year 2009  +
Note the Twenty-first IAAI Conference on Artificial Intelligence will be held in Pasadena, California, July 14–16, 2009
Pdf Tw-tr-2009-10.pdf  +
Title An Ensemble Learning and Problem Solving Architecture for Airspace Management  +
Year 2009  +
Retrieved from "http://tw.rpi.edu/wiki/An_ensemble_learning_and_problem_solving_architecture_for_airspace_management"
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