Transdisciplionarity Practical Comparison Of Natural And Artificial Neural Networks. Thoughts On The Air Force Renewing Training System eBook

Essay from the year 2024 in the subject Sociology - War and Peace, Military, grade: PhD, , language: English, abstract: The study of human (natural) neural networks is a motivation for the development of artificial intelligence. This scientific conception is transdisciplinary. In this essay, the role of (S)AI training infrastructure based on artificial neural networks in air warfare is - partially - discussed. Airspace, in the modern times of warfare, hides both threats and opportunities. In addition, people's perception of space and time has changed, as they have got further from their natural environment. This essay would rather briefly analyze and compare the contemporary processes of human decision making and artificial neural networks with natural networks in the context of modelling these processes than describe the air force infrastructure, its equipment and the role of (S)AI in the creation of tactical alternatives. American studies have shown a steady decline in pilot preparedness within the frame of US Air Force, which has already affected national defense and offensive capabilities. Furthermore, the "robust" training volume was reconfigured, with three pillars: S(AI) (pattern-based artificial intelligence), ML (logarithmic machine learning) and augmented reality (AR). Nevertheless, the use of "Advanced Technologies" was expected to corelate better with the ever-changing knowledge needs of pilots.