USERN

Professor Emeritus, Faculty of Science, Computer Science

Full Professor of Artificial Intelligence, VU University Amsterdam

Jan Treur has been a full professor of AI since 1990 and is a well-recognized expert in the area of multidisciplinary human-like AI modeling. He has published over 700 well-cited papers about cognitive, affective, and social modeling and AI systems making use of such models. He has also supervised more than 40 Ph.D. students in these areas and from 2016 on written and edited three books on (adaptive) network-oriented AI modeling and its application in various other disciplines. One of the current research topics is the modeling of higher-order adaptive processes by self-modeling network models with a specific focus on mental processes based on internal mental models and their use by internal simulation, their learning or formation (including organizational learning), and the control over them. An application focus is on the development and use of shared mental models supporting the road toward a just safety culture in organizations such as hospitals. A joint Springer Nature book about computational modeling of multilevel organizational learning is in preparation and will come out by the end of 2022 or the beginning of 2023. Another main research focus is the emergence of intrapersonal synchrony induced by human interaction and the related behavioral adaptivity in the form of emerging affiliation and bonding.

Current research addresses modeling of higher-order adaptive processes by self-modeling network models with a specific focus on mental processes based on internal mental models and their use by internal simulation, their learning or formation (including organisational learning), and the control over them. The application focus is on the development and use of shared mental models supporting the road toward a just safety culture in organisations such as hospitals.

Websites:

https://www.researchgate.net/profile/Jan_Treur
https://research.vu.nl/en/persons/jan-treur

Key Publications:

Van Ments, L., Treur, J., Klein, J. & Roelofsma, P.H.M.P. ( 2021). A Second-Order Adaptive Network Model for Shared Mental Models in Hospital Teamwork. Proc. of the 13th International Conference on Computational Collective Intelligence, ICCCI'21. Nguyen, N.T., et al (ed.). Lecture Notes in AI, Springer Nature Switzerland AG.

Treur, J. (2020). Analysis of a network's asymptotic behavior via its structure involving its strongly connected components. Network Science 8, S1, S82-S109.

Treur, J. (2020). Modeling Higher-Order Adaptivity of a Network by Multilevel Network Reification. Network Science 8, S1, S110-S144.

Bosse, T., Hoogendoorn, M., Klein, M.C.A., Treur, J., Van Der Wal, C.N., Van Wissen, A. (2013) Modelling collective decision making in groups and crowds: Integrating social contagion and interacting emotions, beliefs and intentions. Autonomous Agents and Multi-Agent Systems 27(1), 52-84

Jonker, C.M., Robu, V., Treur, J. (2007). An agent architecture for multi-attribute negotiation using incomplete preference information. Autonomous Agents and Multi-Agent Systems 15(2), 221-252

Castelfranchi, C., Dignum, F., Jonker, C.M., & Treur, J. (2000). Deliberative normative agents: principles and architecture. In Sixth International Workshop on Intelligent Agents, Agent Theories, Architectures, and Languages (ATAL 2000). London, UK, Lecture Notes in Computer Science, vol 1757, pp. 364-378. Springer Publishers.

Jonker, C.M., Treur, J. (1999). Formal analysis of models for the dynamics of trust based on experiences. Proc. of 9th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW’99. Lecture Notes in Computer Science, vol 1647, pp. 221-231. Springer Publishers.

Brazier, F.M.T., Dunin-Keplicz, B.M., Jennings, N.R., Treur, J. (1997). DESIRE: Modelling multi-agent systems in a compositional formal framework. International Journal of Cooperative Information Systems 6(1), 67-94

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