Prof. dr. J. (Jan) Treur
Jan Treur has been a full professsor of AI since 1990 and is a well-recognized expert on 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.
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.
For a complete overview, see his ResearchGate overview
For recent research presentations, see the Self-Modeling Networks YouTube channel
- 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
- Treur, J. (2016). Network-Oriented Modeling: Addressing Complexity of Cognitive, Affective and Social Interactions. Springer Nature, Cham.
- Treur, J. (2020). Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models. Springer Nature, Cham.
- Treur, J., Van Ments, L. (eds.) (2022). Mental Models and their Dynamics, Adaptation, and Control: a Self-Modeling Network Modeling Approach. Springer Nature.