5. Conclusion and outlook
The article was a first starting point for intelligent and cooperating agents in the context of maintenance of technically
complex systems. In particular, logistical aspects and resource allocation are taken into account. From the
methodical perspective the state of the art provides a pool of different techniques and algorithms that have the ability
to use particular tasks from autonomous maintenance systems. Moreover, also multi-agent-based systems or
simulations are in general available to plan and control logistical systems. However, the application of these ideas
into real world systems has not been investigated on a broad scope yet. One particular problem concerning
maintenance is the ability of agents to formulate their requirements of maintenance measures without the interaction
of humans. A first approach from a methodological and concrete technical perspective has been fulfilled with this
paper. This will consequently raise the need for further research in combining intelligent techniques in the field of
maintenance, simulating complete systems and investigation of the results on a broad scale