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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Çakır, A., Başdaş, H.E., Leblebicioğlu, K.: Detection of weapon effectiveness values by fuzzy logic method. J. Def. Sci. 5(1), 22–49 (2004)
Scharre and Horowitz (2015)
Májek, V., Kacer, J.: Air defence efficiency, according to NATO. Cybern. Lett. (2006). http://www.cybletter.com/index.php?s=2006-II
Lee, J.J.: Military whales and dolphins: what do they do and who uses them? Natl. Geogr. Newsl. (2019). www.nationalgeographic.com/news/2019/5/140328-navy-dolphin-sea-lion-combat-ocean-animal-science/
Leighton, T., White, P.: Dolphin-inspired target detection for sonar and radar. Arch. Acoust. 39(3), 319–332 (2014)
Jaiswal, N.K.: Military Operations Research: Quantitative Decision Making, vol. 5. Springer, New York (2012)
Nor, B., Wand, K.: Weapon scoring using a multilayer perceptron network. J. Battlef. Technol. IV(1), 7 (2001)
Regan, M.J., Downey, F.M.: A Technique for Assessing Comparative Force Modernization, 6th edn. The Analytic Sciences Corporation (TASC), Virginia (1993)
Davison, N.: A legal perspective: autonomous weapon systems under international humanitarian law. Perspect. Lethal Auton. Weapon Syst. 2018, 5–18 (2017)
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)
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)
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)
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)
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)
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
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)
US Department of Defense: Autonomy in Weapon Systems, Directive 3000.09, 21 November 2012, Glossary, Part II Definitions (2012)
ICRC Report, Autonomous weapon systems technical, military, legal, and humanitarian aspects (2014). https://www.icrc.org
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)
Cummings, M.L.: Artificial Intelligence and the Future of Warfare. International Security Department and US and the Americas Programme (2017). https://www.chathamhouse.org
Sagramsingh, R.: Lethal Autonomous Weapons Systems: Artificial Intelligence and Autonomy (2018). http://wise-intern.org
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)
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)
Pandya, J.: The Weaponization of Artificial Intelligence. Forbes (2019)
Markoff, J.: Report Cites Dangers of Autonomous Weapons. N. Y. Times. (2016)
Dietterich, T.G.: Robust artificial intelligence and healthy human organizations. Front. Comput. Sci. 13(1), 1–3 (2019)
Johnson, A.M., Axinn, S.: The morality of autonomous robots. J. Mil. Ethics 12(2), 129–141 (2013)
Anderson, J., Rainie, L., Luchsinger, A.: Solutions to address AI’s anticipated negative impacts. Pew Research Center (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Benzer, R., Erkollar, A., Oberer, B., Benzer, S. (2020). Using Artificial Intelligence for the Improvement of Weapon Efficiency. In: Durakbasa, N., Gençyılmaz, M. (eds) Proceedings of the International Symposium for Production Research 2019. ISPR ISPR 2019 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-31343-2_2
Download citation
DOI: https://doi.org/10.1007/978-3-030-31343-2_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-31342-5
Online ISBN: 978-3-030-31343-2
eBook Packages: EngineeringEngineering (R0)