The impact of revolutions in military affairs on warfare and international relations
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
Technological changes that increase an army's firepower by an order of magnitude and are directed by the military rather than socio-economic circumstances are called Revolutions in Military Affairs (RMA). An RMA goes towards unmanned warfare, where humans are gradually removed from the battlefield, or to an increasing of manned weapons by assisting them with Unmanned Vehicles, Lethal Autonomous Weapon Systems and Artificial Intelligence Systems. The thesis argues that AI based weapons are superior to the manned counterparts due to their inhumane ability to process information in a fast manner and cooperate with each other in ways humans cannot. It also argues that removing soldiers and manned weapon system from warzone would make warfare more humane, as the savagery of war does not come from the conflict, but through human emotions such as fear and the will to survive. Machines lack these emotions. Lastly, the thesis states that while these changes could make warfare more humane, it would also make it more frequent, as removing humans from battlefields would decrease the cost of war in both human and financial terms, making it easier for states to go to war.
Author
Mehmet Salah Devrim
Institution

Antalya Bilim University
Küresel Siyaset ve Uluslararası İlişkiler Bilim Dalı
How to Cite
Mehmet Salah Devrim (Master Thesis). The impact of revolutions in military affairs on warfare and international relations, 2021, Antalya Bilim University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Antalya Bilim University
- MIMO for 5th generation heterogeneous communication networks: Modeling and performance analysis(2017)
- Integrative clustering approaches for cancer subtype discovery(2017)
- A comparative study of kalman filter and its variants in acoustic echo cancellation(2018)
- Some machine learning techniques for medical diagnosis(2019)
- Development of single-mode diode pumped cr: Lisaf lasers(2020)
- Crime of rigging in tenders(2020)