Trust and Interdependence in Controlling Multi-Agent Multi-Tasking Autonomous Teams

Abstract

In this report we address the role of trust in autonomous systems, and our progress in developing a theory of interdependence for the efficient control of hybrid teams and systems composed of robots, machines and humans working interchangeably. Sentient multi-agent systems require an aggregation process like data fusion. But conventional use of fusion for the control of UxV systems hinges on convergences to form patterns, increasing uncertainty. Present solutions appear to indicate stability for cooperative contexts and instability for competitive ones, in line with our theoretical expectations.