منابع مشابه
Autonomous Weapons and Human Responsibilities
Although remote-controlled robots flying over the Middle East and Central Asia now dominate reports on new military technologies, robots that are capable of detecting, identifying, and killing enemies on their own are quietly but steadily movingfrom the theoretical to the practical. The enormous difficulty in assigning responsibilities to humans and states for the actions ofthese machines grows...
متن کاملLogical Limitations to Machine Ethics with Consequences to Lethal Autonomous Weapons
Lethal Autonomous Weapons promise to revolutionize warfare — and raise a multitude of ethical and legal questions. It has thus been suggested to program values and principles of conduct (such as the Geneva Conventions) into the machines’ control, thereby rendering them both physically and morally superior to human combatants. We employ mathematical logic and theoretical computer science to expl...
متن کاملNon-Lethal Weapons: Striking Experiences in a Non-Cooperative Environment
In missions to stabilize conflicts around the world, the military forces increasingly find themselves operating amongst the people. The emerging need in military interventions to prevent casualties translated into a range of value driven military technological developments, such as non-lethal weapons (NLW). NLWs can be characterized by a certain technological and operational design ’window’ of ...
متن کاملTackling the "Gremlins Paradox" : Autonomous Hot Swap Healing Protocol for Chronic Performance Problem Aversion in On-board Mission Critical Systems for Lethal Autonomous Weapons
After careful reading of Kavulya [2013], [2] it was the informed view of this researcher, that the methods described in the Doctoral Dissertation could very easily resolve Chronic Performance Problems(CPPs) at Command Centers related to Lethal Autonomous Weapon Systems. It is however not possible to use the same methods to resolve Chronic Performance Problems occurring in On-board Mission Criti...
متن کاملData Fusion of FLIR and LADAR in Autonomous Weapons Systems
We use data fusion in our automatic target recognition (ATR) system to identify and track airbourne objects. The fusion process allows for a much more robust conclusion to be drawn from what may well be incomplete data. The method we use for the fusion process is twofold. The Transferable belief model (TBM), which is derived from Dempster Shafer Theory (DST) is used for matching type and Kalman...
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ژورنال
عنوان ژورنال: Delphi - Interdisciplinary Review of Emerging Technologies
سال: 2019
ISSN: 2626-3734,2626-3742
DOI: 10.21552/delphi/2019/1/7