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A Maturity Model for Collaborative Agents in Human-AI Ecosystems

Wico Mulder; André Meyer-Vitali
In: Luis M. Camarinha-Matos; Xavier Boucher; Angel Ortiz (Hrsg.). Collaborative Networks in Digitalization and Society 5.0. IFIP Working Conference on Infrastructures for Virtual Enterprises (PRO-VE-2023), 24th IFIP WG 5.5 Working Conference on Virtual Enterprises, located at PRO-VE: Working Conference on Virtual Enterprises, September 27-29, Valencia, Spain, IFIP Advances in Information and Communication Technology book series (IFIPAICT), Vol. 688, ISBN 978-3-031-42622-3, Springer, Cham, 9/2023.


AI entities lean on the aspects of their autonomy to carry out their tasks and perform intelligently. But when these entities collaborate in human-AI teams, their levels of autonomy and collaboration have to be balanced out. We present a maturity model for agents regarding this aspect of balancing. Whereas simple AI systems use pre-designed mechanisms, more advanced systems are able to learn this from experience. The maturity model is a two-dimensional matrix in which the degree of agency forms the horizontal axis, and the level of interaction the vertical axis. We validate the use of this maturity model with use-cases in the field of urban energy efficiency.