Neuro-symbolic AI is an emerging subfield of Artificial Intelligence that brings together two
hitherto distinct approaches.” Neuro” refers to the artificial neural networks prominent in …

The study and understanding of human behaviour is relevant to computer science, artificial
intelligence, neural computation, cognitive science, philosophy, psychology, and several …

The goal of this article has been to discuss next generation learning environments and next
generation training technologies as well as the learning and design challenges faced in …

This book provides the first comprehensive literature review on the acquisition and retention
of complex skills in High Reliability Organizations. Based on this review, it introduces a …

Objective: To demonstrate that psychophysiology may have applications for objective
assessment of expertise development in deadly force judgment and decision making …

In real-world applications, the effective integration of learning and reasoning in a cognitive
agent model is a difficult task. However, such integration may lead to a better understanding …

One key feature for scenario-based training is introducing stressful, realistic scenarios for
trainees. Some law enforcement agencies have begun using virtual reality systems to …

Many studies have discussed unmanned aircraft system (UAS) applications for infrastructure
conditions and construction project inspections. However, the industry currently faces …

Volume 49, Number 3 TechTrends 55 of the types and uses of mobile wireless technology.
Therefore, this paper is divided into two sections:(a) an overview of mobile wireless …

​ Barbara Frank hat mehr als 24 Presence-Fragebögen verglichen, darauf basierend den
Fragebogen „Presence for lab-based micro world research (PLBMR)“entwickelt und in der …