A hybrid knowledge representation for the domain model of intelligent flight trainer

CCIS2011 - Proceedings: 2011 IEEE International Conference on Cloud Computing and Intelligence Systems

Volumn , Issue , 2011, Pages 29-33

  Geng, Xiaobing ^a,b   Qin, Shuxin ^a   Chang, Hongxing ^a   Yang, Yiping ^a  

^a INSTITUTE OF AUTOMATION   (China)

^b RESEARCH INSTITUTE OF CHEMICAL DEFENSE   (China)

Author keywords

domain model; flight training; intelligent tutoring system; knowledge representation

Indexed keywords

AUTHORING TOOL; BEHAVIOR TREES; DOMAIN EXPERTS; DOMAIN MODEL; FLIGHT TRAINING; HYBRID KNOWLEDGE REPRESENTATION; HYBRID METHOD; INTELLIGENT TUTORING SYSTEM; KNOWLEDGE ENGINEERS; KNOWLEDGE TREE; PROCEDURAL KNOWLEDGE; RESEARCH LABS;

CLOUD COMPUTING; COMPUTER AIDED INSTRUCTION; COMPUTER SOFTWARE REUSABILITY; COMPUTER SYSTEMS; EDUCATION COMPUTING; KNOWLEDGE BASED SYSTEMS; PLANT EXTRACTS;

KNOWLEDGE REPRESENTATION;

EID: 80055114906     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCIS.2011.6045026     Document Type: Conference Paper

References (13)

1. C. Ramos, C. Frasson, S. Ramachandran, Introduction to the Special Issue on Real World Applications of Intelligent Tutoring Systems, IEEE Transactions on Learning Technologies, 2009, vol.2, No.2, pp. 62-63
2. I. Hatzilygeroudis, J. Prentzas. Knowledge Representation Requirements for Intelligent Tutoring Systems. Seventh International Conference on Intelligent Tutoring Systems. Lecture Notes in Computer Science, Vol.3220. Springer-Verlag, Berlin (2004). pp.87-97
3. FAA, FITS Generic Private Pilot ASEL Syllabus, Version 1.0. Oct.4, 2007, http://www.faa.gov/training-testing/training/
4. M.Buckland, Programming Game AI by Example, Jones & Bartlett: Massachusetts, Sep. 2004.
5. G. Florez-Puga, M.A. Gomez-Martin, P.P. Gomez-Martin, B. Diaz-Agudo, P.A. Gonzalez-Calero, Query-Enabled Behavior Trees, IEEE Transactions on Computational Intelligence and AI in Games, vol. 1, Dec.2009, pp.298 - 308, doi: 10.1109/TCIAIG.2009.2036369.
6. G. Florez-Puga, M.A. Gomez-Martin, B. Diaz-Agudo, P.A. Gonzalez-Calero, "Dynamic Expansion of Behavior Trees", Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference, The AAAI Press, Oct. 22-24, 2008, Stanford, California, USA, pp.36-41.
7. E. Remolina, S. Ramachandran, D. Fu, R. Stottler, and W. R. Howse, "Intelligent Simulation-Based Tutor for Flight Training", Proceedings of the Industry/Interservice, Training, Simulation &Education Conference (I/ITSEC 2004), 2004
8. " Behavior Tree Editor for State Machines and Sequences", http://gameengine. visual3d.net/wiki/behavior-tree-editorstate- machines-and-sequences
9. Yu H T, Gao Y B, Yang Y P. Construction and application of domain knowledge based on knowledge tree[J]. Jisuanji Yingyong Yanjiu / Application Research of Computers (in Chinese). 2008, 25(11): 3246-3248.
10. I. Millington, Artificial Intelligence for Games, Boston : Elsevier. Morgan Kaufmann, 2006, pp.334-371
11. GENG Xiaobing, LIU Sijiang, JIANG Yongshi, YANG Yiping. A Visual Authoring Framework for Intelligent Flight Trainer[C]. International Conference on Computer and Information Application 2010 (ICCIA 2010). pp.382-385, Tianjin, China. 3-5 December, 2010,
12. FAA, Airplane Flying Handbook, http://www.faa.gov/library/manuals/ aircraft/airplane-handbook/
13. Learning Technology Standards Committee (2002), Draft Standard for Learning Object Metadata. IEEE Standard 1484.12.1, New York: Institute of Electrical and Electronics Engineers