Adaptive CGF for pilots training in air combat simulation
Training of combat fighter pilots is often conducted using either human opponents or non-adaptive computer-generated force (CGF) inserted with the doctrine for conducting air combat mission. The novelty and challenges of such non-adaptive doctrine-driven CGF is often lost quickly. Incorporating more...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
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2014
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| Online Access: | https://hdl.handle.net/10356/101744 http://hdl.handle.net/10220/19740 http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6290580&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6290580 |
| _version_ | 1811684548306534400 |
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| author | Teng, Teck-Hou Tan, Ah-Hwee Ong, Wee-Sze Lee, Kien-Lip |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Teng, Teck-Hou Tan, Ah-Hwee Ong, Wee-Sze Lee, Kien-Lip |
| author_sort | Teng, Teck-Hou |
| collection | NTU |
| description | Training of combat fighter pilots is often conducted using either human opponents or non-adaptive computer-generated force (CGF) inserted with the doctrine for conducting air combat mission. The novelty and challenges of such non-adaptive doctrine-driven CGF is often lost quickly. Incorporating more complex knowledge manually is known to be tedious and time-consuming. Therefore, a study of using adaptive CGF to learn from the real-time interactions with human pilots to extend the existing doctrine is conducted in this work. The goal of this study is to show how an adaptive CGF can be more effective than a non-adaptive doctrine-driven CGF for simulator-based training of combat pilots. Driven by a family of self-organizing neural network, the adaptive CGF can be inserted with the same doctrine as the non-adaptive CGF. Using a commercial-grade training simulation platform, two human-in-the-loop (HIL) experiments are conducted using the adaptive CGF and the non-adaptive doctrine-driven CGF to engage two diverse groups of human pilots in 1-v-1 dogfights. The quantitative results and qualitative assessments of the CGFs by the human pilots are collected for all the training sessions. The qualitative assessments show the trainee pilots are able to match the adaptive CGF to the desirable attributes while the veteran pilots are only able to observe some learning from the adaptive CGF. The quantitative results show that the adaptive agent needs a lot more training sessions to learn the necessary knowledge to match up to the human pilots. |
| first_indexed | 2024-10-01T04:30:23Z |
| format | Conference Paper |
| id | ntu-10356/101744 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:30:23Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | ntu-10356/1017442020-05-28T07:17:16Z Adaptive CGF for pilots training in air combat simulation Teng, Teck-Hou Tan, Ah-Hwee Ong, Wee-Sze Lee, Kien-Lip School of Computer Engineering International Conference on Information Fusion (FUSION) (15th : 2012) DRNTU::Engineering::Computer science and engineering Training of combat fighter pilots is often conducted using either human opponents or non-adaptive computer-generated force (CGF) inserted with the doctrine for conducting air combat mission. The novelty and challenges of such non-adaptive doctrine-driven CGF is often lost quickly. Incorporating more complex knowledge manually is known to be tedious and time-consuming. Therefore, a study of using adaptive CGF to learn from the real-time interactions with human pilots to extend the existing doctrine is conducted in this work. The goal of this study is to show how an adaptive CGF can be more effective than a non-adaptive doctrine-driven CGF for simulator-based training of combat pilots. Driven by a family of self-organizing neural network, the adaptive CGF can be inserted with the same doctrine as the non-adaptive CGF. Using a commercial-grade training simulation platform, two human-in-the-loop (HIL) experiments are conducted using the adaptive CGF and the non-adaptive doctrine-driven CGF to engage two diverse groups of human pilots in 1-v-1 dogfights. The quantitative results and qualitative assessments of the CGFs by the human pilots are collected for all the training sessions. The qualitative assessments show the trainee pilots are able to match the adaptive CGF to the desirable attributes while the veteran pilots are only able to observe some learning from the adaptive CGF. The quantitative results show that the adaptive agent needs a lot more training sessions to learn the necessary knowledge to match up to the human pilots. Published version 2014-06-13T03:28:38Z 2019-12-06T20:43:48Z 2014-06-13T03:28:38Z 2019-12-06T20:43:48Z 2012 2012 Conference Paper Teng, T.-H., Tan, A.-H., Ong, W-S., & Lee, K.-L. (2012). Adaptive CGF for pilots training in air combat simulation. 2012 15th International Conference on Information Fusion (FUSION), 2263 - 2270. https://hdl.handle.net/10356/101744 http://hdl.handle.net/10220/19740 http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6290580&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6290580 en © 2012 International Society of Information Fusion. This paper was published in 2012 15th International Conference on Information Fusion (FUSION) and is made available as an electronic reprint (preprint) with permission of International Society of Information Fusion. The paper can be found at the following official URL: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6290580&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6290580. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering Teng, Teck-Hou Tan, Ah-Hwee Ong, Wee-Sze Lee, Kien-Lip Adaptive CGF for pilots training in air combat simulation |
| title | Adaptive CGF for pilots training in air combat simulation |
| title_full | Adaptive CGF for pilots training in air combat simulation |
| title_fullStr | Adaptive CGF for pilots training in air combat simulation |
| title_full_unstemmed | Adaptive CGF for pilots training in air combat simulation |
| title_short | Adaptive CGF for pilots training in air combat simulation |
| title_sort | adaptive cgf for pilots training in air combat simulation |
| topic | DRNTU::Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/101744 http://hdl.handle.net/10220/19740 http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6290580&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6290580 |
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