Using Artificial Intelligence for the Improvement of Weapon Efficiency

  • Recep BenzerEmail author
  • Alptekin Erkollar
  • Birgit Oberer
  • Semra Benzer
Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)


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.


Artificial neural network Weapon Efficiency Defense Autonomous 


  1. 1.
    Çakır, A., Başdaş, H.E., Leblebicioğlu, K.: Detection of weapon effectiveness values by fuzzy logic method. J. Def. Sci. 5(1), 22–49 (2004)Google Scholar
  2. 2.
    Scharre and Horowitz (2015)Google Scholar
  3. 3.
    Májek, V., Kacer, J.: Air defence efficiency, according to NATO. Cybern. Lett. (2006).
  4. 4.
    Lee, J.J.: Military whales and dolphins: what do they do and who uses them? Natl. Geogr. Newsl. (2019).
  5. 5.
    Leighton, T., White, P.: Dolphin-inspired target detection for sonar and radar. Arch. Acoust. 39(3), 319–332 (2014)CrossRefGoogle Scholar
  6. 6.
    Jaiswal, N.K.: Military Operations Research: Quantitative Decision Making, vol. 5. Springer, New York (2012)zbMATHGoogle Scholar
  7. 7.
    Nor, B., Wand, K.: Weapon scoring using a multilayer perceptron network. J. Battlef. Technol. IV(1), 7 (2001)Google Scholar
  8. 8.
    Regan, M.J., Downey, F.M.: A Technique for Assessing Comparative Force Modernization, 6th edn. The Analytic Sciences Corporation (TASC), Virginia (1993)Google Scholar
  9. 9.
    Davison, N.: A legal perspective: autonomous weapon systems under international humanitarian law. Perspect. Lethal Auton. Weapon Syst. 2018, 5–18 (2017)Google Scholar
  10. 10.
    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)CrossRefGoogle Scholar
  11. 11.
    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)Google Scholar
  12. 12.
    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)Google Scholar
  13. 13.
    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)CrossRefGoogle Scholar
  14. 14.
    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)Google Scholar
  15. 15.
    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 2016Google Scholar
  16. 16.
    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)Google Scholar
  17. 17.
    US Department of Defense: Autonomy in Weapon Systems, Directive 3000.09, 21 November 2012, Glossary, Part II Definitions (2012)Google Scholar
  18. 18.
    ICRC Report, Autonomous weapon systems technical, military, legal, and humanitarian aspects (2014).
  19. 19.
    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)CrossRefGoogle Scholar
  20. 20.
    Cummings, M.L.: Artificial Intelligence and the Future of Warfare. International Security Department and US and the Americas Programme (2017).
  21. 21.
    Sagramsingh, R.: Lethal Autonomous Weapons Systems: Artificial Intelligence and Autonomy (2018).
  22. 22.
    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)Google Scholar
  23. 23.
    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)Google Scholar
  24. 24.
    Pandya, J.: The Weaponization of Artificial Intelligence. Forbes (2019)Google Scholar
  25. 25.
    Markoff, J.: Report Cites Dangers of Autonomous Weapons. N. Y. Times. (2016)Google Scholar
  26. 26.
    Dietterich, T.G.: Robust artificial intelligence and healthy human organizations. Front. Comput. Sci. 13(1), 1–3 (2019)CrossRefGoogle Scholar
  27. 27.
    Johnson, A.M., Axinn, S.: The morality of autonomous robots. J. Mil. Ethics 12(2), 129–141 (2013)CrossRefGoogle Scholar
  28. 28.
    Anderson, J., Rainie, L., Luchsinger, A.: Solutions to address AI’s anticipated negative impacts. Pew Research Center (2018)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Recep Benzer
    • 1
    Email author
  • Alptekin Erkollar
    • 2
  • Birgit Oberer
    • 2
  • Semra Benzer
    • 3
  1. 1.Ostim Technical UniversityAnkaraTurkey
  2. 2.Swiss Federal Institute of TechnologyZürichSwitzerland
  3. 3.Gazi UniversityAnkaraTurkey

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