Trust-based multi-agent systems are particularly relevant in the fields of artificial intelligence, automation, and Industry and Factory 4.0.
These are digital networks in which multiple independent computer programs (so-called „agents“) collaborate. The special feature is that these agents make their own decisions and coordinate with each other - they act similarly to a team of humans. The difference from classic systems lies in the fact that trust between the agents plays a central role. Each agent assesses how reliable and honest the others are before sharing data or solving tasks together.
A clear example: In a modern factory, autonomous robots and machines can automatically coordinate their work. If one robot notices a fault in another, it must decide whether that robot is trustworthy or whether it would be better to ask another machine for help. This trust within the system makes collaboration more efficient and safer.
Trust-based multi-agent systems therefore ensure that decisions can be made quickly and reliably – which offers significant advantages, particularly in efficient production and the deployment of artificial intelligence.
Deutsch 
English (UK)