Cyber-physical forgetting in socio-digital systems

Background:

More and more technical components are being used in manufacturing with the decentralised ability to make autonomous decisions. Artificial intelligence also plays a key role here. However, these cyber-physical systems must also be able to deal with changes in production processes and contexts. Therefore, forgetting previously known facts is also helpful and necessary here. However, this dynamic in the technical knowledge base also means that the behaviour of the technical system can no longer be anticipated by the people involved, which leads to acceptance problems.

Main research question:

How can cyber-physical systems (CPS) forget, how do actors experience forgetting CPS and to what extent can cooperation with a forgetting CPS promote intentional forgetting in manufacturing routines?

The main research question investigates:

... how mechanisms of forgetting can be transferred from humans to cyber-physical systems. What are the challenges of dealing with autonomously forgetting systems in a manufacturing context, and how can process models be used to shape change?

Research objective:

The aim is to develop and test a forgetting cyber-physical system that works together with humans in different constellations. The objective is to determine what influence the autonomy of the system and the transparency of the decisions made automatically have on the perception of the working environment and the forgetting performance.