Jak optymalizować funkcjonowanie systemów autonomicznych? [How to optimise the functioning of autonomous systems?] Krzysztof Nowak (IEEE Autonomous Robotics Ontology Working Group & LO VII, Wrocław) It would appear that the answer to the question "How should we optimise the functioning of autonomous systems?" is: "We should not. Such systems should self-optimise. They are after all autonomous, so they do not require external assistance." The question, however, arises: how should complex systems operate and be optimised? We do optimise network flows. Some of these networks could be complex, dynamic, autonomous. How could we understand such networks? What could be optimised, and how? The following path is suggested: (1) network flows for complex networks; (2) interacting networks; (3) dynamic networks; (4) metabolic networks capable of handling perturbations; (5) autonomous networks. Could such a path be followed when analysing supply networks or socio-technical networks, and would it facilitate analysing, conceptualising and optimising them? More specifically, when complex systems are networks capable of interacting with their environments and improving the ways they function, how should we understand them? In simple supply networks, is it just the goods that flow, or are there also flows of data, information, decisions, intentions, influences? How can we conceptualise such systems? Do we need an ontology, would it provide a consensus-based understanding, would it facilitate research collaboration? And if an ontology for such systems was proposed, what should it look like? In this presentation we consider an ontology based on Dennett's intentional stance, extended with a metabolic level. Selections of concepts and conceptual relations will be presented. Autonomous, self-modifying and self-optimising systems are the systems of the future. But understanding, designing, building and maintaining them are all challenging. Many questions have been asked, not many answers given - but steps could be taken towards building specific systems involving interdependent networks and capable of handling perturbations.