Convergent technology with artificial general intelligence
for accelerating virtual meetings in transport emergency situations 2020-01-0726
The paper addresses the issue of speeding up virtual meetings responding to transport-related emergency situations by applying a unique convergent approach that ensures purposefulness and sustainability of holding the meetings. They must be held efficiently facilitated first of all in order to avoid wrong diagnoses of motor-related injuries because of their ultimate aim being to remove threats to health and life. Several groups of representatives of various services and observers are allowed to participate in those meetings. A number of ill decisions have a tendency to increase if a meeting is conducted with remote experts in a certain networked environment where the participants are out of eye contact with each other. The convergent technology creates special structural conditions that help effectively accomplish goals. It transforms divergent process of brainstorming and conversations into convergent processes. It allows for holding several group meetings simultaneously and creates an agreed strategy of actions for all participants. The approach is based on the inverse problem-solving method in topological space, cognitive modeling, genetic algorithms and elements of the artificial general intelligence (AGI). The AGI emulates thoughts and emotions of participants through involving as the methods of big data analyses and deep learning, as thermodynamic, quantum, and optical effects. The approach uses traditional technical tools of augmented reality, virtual collaboration and situational awareness. It has been repeatedly used in practice for building strategies for socioeconomic and manufacturing sectors and is currently being adapted for transport emergencies.