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AUTOBIZ: Pushing the Boundaries of AI-Driven Process Execution and Adaptation (Dagstuhl Seminar 25192)

Authors: Giuseppe De Giacomo, Marlon Dumas, Fabiana Fournier, Timotheus Kampik, and Lior Limonad

Published in: Dagstuhl Reports, Volume 15, Issue 5 (2025)

Abstract

Advances in AI are enabling the shift toward Autonomous Business Processes (ABPs), where systems not only suggest actions but also take proactive steps within defined constraints. This concept was introduced in the AI-Augmented Business Process Management Systems (ABPMSs) manifesto, which outlines their lifecycle, features, and research challenges. The "AutoBiz" 25192 Dagstuhl Seminar brought together experts from AI and BPM to collaborate on advancing this vision. The seminar’s main goal was to define a research agenda for the realization of ABP systems.

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Giuseppe De Giacomo, Marlon Dumas, Fabiana Fournier, Timotheus Kampik, and Lior Limonad. AUTOBIZ: Pushing the Boundaries of AI-Driven Process Execution and Adaptation (Dagstuhl Seminar 25192). In Dagstuhl Reports, Volume 15, Issue 5, pp. 21-63, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@Article{degiacomo_et_al:DagRep.15.5.21,
  author =	{De Giacomo, Giuseppe and Dumas, Marlon and Fournier, Fabiana and Kampik, Timotheus and Limonad, Lior},
  title =	{{AUTOBIZ: Pushing the Boundaries of AI-Driven Process Execution and Adaptation (Dagstuhl Seminar 25192)}},
  pages =	{21--63},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2025},
  volume =	{15},
  number =	{5},
  editor =	{De Giacomo, Giuseppe and Dumas, Marlon and Fournier, Fabiana and Kampik, Timotheus and Limonad, Lior},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.15.5.21},
  URN =		{urn:nbn:de:0030-drops-252799},
  doi =		{10.4230/DagRep.15.5.21},
  annote =	{Keywords: AutoBiz, Artificial Intelligence, Business Process Management, Autonomous Business Processes, Dagstuhl Seminar}
}

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Vision

DOI: 10.4230/TGDK.1.1.13

Autonomy in the Age of Knowledge Graphs: Vision and Challenges

Authors: Jean-Paul Calbimonte, Andrei Ciortea, Timotheus Kampik, Simon Mayer, Terry R. Payne, Valentina Tamma, and Antoine Zimmermann

Published in: TGDK, Volume 1, Issue 1 (2023): Special Issue on Trends in Graph Data and Knowledge. Transactions on Graph Data and Knowledge, Volume 1, Issue 1

Abstract

In this position paper, we propose that Knowledge Graphs (KGs) are one of the prime approaches to support the programming of autonomous software systems at the knowledge level. From this viewpoint, we survey how KGs can support different dimensions of autonomy in such systems: For example, the autonomy of systems with respect to their environment, or with respect to organisations; and we discuss related practical and research challenges. We emphasise that KGs need to be able to support systems of autonomous software agents that are themselves highly heterogeneous, which limits how these systems may use KGs. Furthermore, these heterogeneous software agents may populate highly dynamic environments, which implies that they require adaptive KGs. The scale of the envisioned systems - possibly stretching to the size of the Internet - highlights the maintainability of the underlying KGs that need to contain large-scale knowledge, which requires that KGs are maintained jointly by humans and machines. Furthermore, autonomous agents require procedural knowledge, and KGs should hence be explored more towards the provisioning of such knowledge to augment autonomous behaviour. Finally, we highlight the importance of modelling choices, including with respect to the selected abstraction level when modelling and with respect to the provisioning of more expressive constraint languages.

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Jean-Paul Calbimonte, Andrei Ciortea, Timotheus Kampik, Simon Mayer, Terry R. Payne, Valentina Tamma, and Antoine Zimmermann. Autonomy in the Age of Knowledge Graphs: Vision and Challenges. In Special Issue on Trends in Graph Data and Knowledge. Transactions on Graph Data and Knowledge (TGDK), Volume 1, Issue 1, pp. 13:1-13:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@Article{calbimonte_et_al:TGDK.1.1.13,
  author =	{Calbimonte, Jean-Paul and Ciortea, Andrei and Kampik, Timotheus and Mayer, Simon and Payne, Terry R. and Tamma, Valentina and Zimmermann, Antoine},
  title =	{{Autonomy in the Age of Knowledge Graphs: Vision and Challenges}},
  journal =	{Transactions on Graph Data and Knowledge},
  pages =	{13:1--13:22},
  ISSN =	{2942-7517},
  year =	{2023},
  volume =	{1},
  number =	{1},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/TGDK.1.1.13},
  URN =		{urn:nbn:de:0030-drops-194872},
  doi =		{10.4230/TGDK.1.1.13},
  annote =	{Keywords: Knowledge graphs, Autonomous Systems}
}

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AUTOBIZ: Pushing the Boundaries of AI-Driven Process Execution and Adaptation (Dagstuhl Seminar 25192)

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Autonomy in the Age of Knowledge Graphs: Vision and Challenges

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