Networked Adaptive Interactive Hybrid Systems (NAIHS) for multiplatform engagement capability

Abstract

Advances in network technologies enable distributed systems, operating in complex physical environments, to coordinate their activities over larger areas within shorter time intervals. Some envisioned application domains for such systems are defence, crisis management, traffic management and public safety. In these systems humans and machines will, in close interaction, be adaptive to a changing environment. Various architecture models are proposed for such Networked Adaptive Interactive Hybrid Systems (NAIHS) from different research areas like (networked) sensor fusion, command and control, artificial intelligence, robotics and human machine interaction. In this paper an architecture model is proposed that combines the merits for a multiplatform engagement capability application. The NAIHS model focuses on the ‘hybrid mind’ that is layered in several dimensions defining specific functional components and their interactions