The sub-project focuses on analysing trust in socio-technical energy systems and the design of human-machine interfaces (HMIs) to promote this trust. In order for people and technical systems to cooperate in a trusting manner, they must interact. The aim here is to investigate which design principles can be derived and implemented for MMS.

Based on the insights gained, the extent to which helpful design principles can also be derived for social and societal interventions will be analysed in connection with innovation area V.

The aim of this sub-project is the development and evaluation of trustworthy (software) agents that act as an interface between human users and the self-organising system (SP III.3) at the household level. In cooperation with SP III.1, the aspects of trust and trustworthiness that are particularly relevant for the cooperation between humans and machines in socio-technical energy systems will be worked out.

Selected approaches from the field of artificial moral agency will then be analysed to determine the extent to which they enable the mapping of trust aspects into the formal decision-making and learning processes of an autonomous, adaptive agent.

The aim of this sub-project is to develop and evaluate a self-organising agent system that can take over tasks in the operation of safety-critical infrastructure, particularly at neighbourhood level, and reliably tap into relevant potential flexibility for safe system operation from the low-voltage level.

A key challenge from the perspective of reliable operation is the ability of the agent system to monitor and evaluate its own internal status and the reliability achieved. To this end, concepts from organic computing are extended so that agent networks can reflect on their internal state at runtime and influence their behaviour in a favourable way in terms of reliability.