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2020 | OriginalPaper | Chapter

Using Artificial Intelligence for the Improvement of Weapon Efficiency

Authors : Recep Benzer, Alptekin Erkollar, Birgit Oberer, Semra Benzer

Published in: Proceedings of the International Symposium for Production Research 2019

Publisher: Springer International Publishing

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Abstract

In the defense industry, which is one of the determinants of the political and economic power of the countries, there is a constant need for change, innovation, and modernization in parallel with the technological developments in the world. Therefore, in the field of defense technologies, Military and non-governmental organizations are working to develop high-performance armor systems that will increase mobility by reducing weight and against developing weapon systems. In this paper will be discussed, how artificial intelligence (AI) can be used for the improvement of weapon efficiency.

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Literature
1.
go back to reference Çakır, A., Başdaş, H.E., Leblebicioğlu, K.: Detection of weapon effectiveness values by fuzzy logic method. J. Def. Sci. 5(1), 22–49 (2004) Çakır, A., Başdaş, H.E., Leblebicioğlu, K.: Detection of weapon effectiveness values by fuzzy logic method. J. Def. Sci. 5(1), 22–49 (2004)
5.
go back to reference Leighton, T., White, P.: Dolphin-inspired target detection for sonar and radar. Arch. Acoust. 39(3), 319–332 (2014)CrossRef Leighton, T., White, P.: Dolphin-inspired target detection for sonar and radar. Arch. Acoust. 39(3), 319–332 (2014)CrossRef
6.
go back to reference Jaiswal, N.K.: Military Operations Research: Quantitative Decision Making, vol. 5. Springer, New York (2012)MATH Jaiswal, N.K.: Military Operations Research: Quantitative Decision Making, vol. 5. Springer, New York (2012)MATH
7.
go back to reference Nor, B., Wand, K.: Weapon scoring using a multilayer perceptron network. J. Battlef. Technol. IV(1), 7 (2001) Nor, B., Wand, K.: Weapon scoring using a multilayer perceptron network. J. Battlef. Technol. IV(1), 7 (2001)
8.
go back to reference Regan, M.J., Downey, F.M.: A Technique for Assessing Comparative Force Modernization, 6th edn. The Analytic Sciences Corporation (TASC), Virginia (1993) Regan, M.J., Downey, F.M.: A Technique for Assessing Comparative Force Modernization, 6th edn. The Analytic Sciences Corporation (TASC), Virginia (1993)
9.
go back to reference Davison, N.: A legal perspective: autonomous weapon systems under international humanitarian law. Perspect. Lethal Auton. Weapon Syst. 2018, 5–18 (2017) Davison, N.: A legal perspective: autonomous weapon systems under international humanitarian law. Perspect. Lethal Auton. Weapon Syst. 2018, 5–18 (2017)
10.
go back to reference Aitkenhead, M.J., Owen, M., Chambers, D.M.: Use of artificial neural networks in measuring characteristics of shielded plutonium for arms control. J. Anal. At. Spectrom. 27(3), 432–439 (2012)CrossRef Aitkenhead, M.J., Owen, M., Chambers, D.M.: Use of artificial neural networks in measuring characteristics of shielded plutonium for arms control. J. Anal. At. Spectrom. 27(3), 432–439 (2012)CrossRef
11.
go back to reference Fedyszyn, R., Martel, W.C., Hitchcock, N.E., Hoyler, H.M., Murray, C., Neff, A.J., Perroti, C.S., Sipe, C.R., Sullivan, R.E., Wall, A.N.: Executive Decision Making, Newport, U.S Naval War College (2002) Fedyszyn, R., Martel, W.C., Hitchcock, N.E., Hoyler, H.M., Murray, C., Neff, A.J., Perroti, C.S., Sipe, C.R., Sullivan, R.E., Wall, A.N.: Executive Decision Making, Newport, U.S Naval War College (2002)
12.
go back to reference Benzer, S., Benzer, R.: Enterprise business management. In: Erkollar, A. (ed.) Alternative Approaches to Traditional Methods for Growth Parameters of Fisheries Industry: Artificial Neural Networks, Tectum Verlag Germany (2019) Benzer, S., Benzer, R.: Enterprise business management. In: Erkollar, A. (ed.) Alternative Approaches to Traditional Methods for Growth Parameters of Fisheries Industry: Artificial Neural Networks, Tectum Verlag Germany (2019)
13.
go back to reference Wong, A.S.W., Li, Y., Yeung, P.K.W., Lee, P.W.H.: Neural network predictions of human psychological perceptions of clothing sensory comfort. Text. Res. J. 73(1), 31–37 (2003)CrossRef Wong, A.S.W., Li, Y., Yeung, P.K.W., Lee, P.W.H.: Neural network predictions of human psychological perceptions of clothing sensory comfort. Text. Res. J. 73(1), 31–37 (2003)CrossRef
14.
go back to reference Young, I.A., Krishnamurthy, R., Manipatruni, S., Chen, G.K., Mathuriya, A., Sharma, A., Sumbul, H.E.: U.S. Patent Application No. 16/147,143 (2019) Young, I.A., Krishnamurthy, R., Manipatruni, S., Chen, G.K., Mathuriya, A., Sharma, A., Sumbul, H.E.: U.S. Patent Application No. 16/147,143 (2019)
15.
go back to reference Borana, J.: Applications of artificial intelligence & associated technologies. Science. In: Proceeding of International Conference on Emerging Technologies in Engineering, Biomedical, Management and Science [ETEBMS-2016], 5–6 March 2016 Borana, J.: Applications of artificial intelligence & associated technologies. Science. In: Proceeding of International Conference on Emerging Technologies in Engineering, Biomedical, Management and Science [ETEBMS-2016], 5–6 March 2016
16.
go back to reference Phulera, K., Singh, H., Bhatt, A.: Analytical study on artificial intelligence techniques to achieve expert systems. Int. J. Emerg. Technol. (Spec. Issue NCETST-2017) 8(1), 137–140 (2017) Phulera, K., Singh, H., Bhatt, A.: Analytical study on artificial intelligence techniques to achieve expert systems. Int. J. Emerg. Technol. (Spec. Issue NCETST-2017) 8(1), 137–140 (2017)
17.
go back to reference US Department of Defense: Autonomy in Weapon Systems, Directive 3000.09, 21 November 2012, Glossary, Part II Definitions (2012) US Department of Defense: Autonomy in Weapon Systems, Directive 3000.09, 21 November 2012, Glossary, Part II Definitions (2012)
19.
go back to reference Heyns, C.: Autonomous weapons in armed conflict and the right to a dignified life: an African perspective. S. Afr. J. Hum. Rights 33(1), 46–71 (2017)CrossRef Heyns, C.: Autonomous weapons in armed conflict and the right to a dignified life: an African perspective. S. Afr. J. Hum. Rights 33(1), 46–71 (2017)CrossRef
22.
go back to reference Surber, R.: Artificial Intelligence: Autonomous Technology (AT), Lethal Autonomous Weapons Systems (LAWS), and Peace Time Threats ICT4 Peace Foundation and the Zurich Hub for Ethics and Technology (ZHET) (2018) Surber, R.: Artificial Intelligence: Autonomous Technology (AT), Lethal Autonomous Weapons Systems (LAWS), and Peace Time Threats ICT4 Peace Foundation and the Zurich Hub for Ethics and Technology (ZHET) (2018)
23.
go back to reference Dahlmann, A., Dickow, M.: Preventive regulation of autonomous weapon systems: need for action by Germany at various levels. SWP Research, Berlin. Stiftung Wissenschaft und Politik German Institute for International and Security Affairs (2019) Dahlmann, A., Dickow, M.: Preventive regulation of autonomous weapon systems: need for action by Germany at various levels. SWP Research, Berlin. Stiftung Wissenschaft und Politik German Institute for International and Security Affairs (2019)
24.
go back to reference Pandya, J.: The Weaponization of Artificial Intelligence. Forbes (2019) Pandya, J.: The Weaponization of Artificial Intelligence. Forbes (2019)
25.
go back to reference Markoff, J.: Report Cites Dangers of Autonomous Weapons. N. Y. Times. (2016) Markoff, J.: Report Cites Dangers of Autonomous Weapons. N. Y. Times. (2016)
26.
go back to reference Dietterich, T.G.: Robust artificial intelligence and healthy human organizations. Front. Comput. Sci. 13(1), 1–3 (2019)CrossRef Dietterich, T.G.: Robust artificial intelligence and healthy human organizations. Front. Comput. Sci. 13(1), 1–3 (2019)CrossRef
27.
go back to reference Johnson, A.M., Axinn, S.: The morality of autonomous robots. J. Mil. Ethics 12(2), 129–141 (2013)CrossRef Johnson, A.M., Axinn, S.: The morality of autonomous robots. J. Mil. Ethics 12(2), 129–141 (2013)CrossRef
28.
go back to reference Anderson, J., Rainie, L., Luchsinger, A.: Solutions to address AI’s anticipated negative impacts. Pew Research Center (2018) Anderson, J., Rainie, L., Luchsinger, A.: Solutions to address AI’s anticipated negative impacts. Pew Research Center (2018)
Metadata
Title
Using Artificial Intelligence for the Improvement of Weapon Efficiency
Authors
Recep Benzer
Alptekin Erkollar
Birgit Oberer
Semra Benzer
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-31343-2_2

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