Projects per year
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Dive into the research topics where Artificial Intelligence (section level) is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Mark Adamik
- Faculty of Science, Artificial intelligence - PhD Candidate
- Network Institute - PhD Candidate
- Social AI - PhD Candidate
Person: Academic
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Dimitrios Alivanistos
- Faculty of Science, Artificial intelligence - PhD Candidate
- Network Institute - PhD Candidate
- Artificial Intelligence (section level) - PhD Candidate
Person: Academic
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Babak Hosseinkhani Kargar
- Faculty of Science, Artificial intelligence - External PhD Candidate
- Network Institute - External PhD Candidate
- Artificial Intelligence (section level) - External PhD Candidate
Person: Academic
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dr. ir. Kim Baraka
- Faculty of Science, Artificial intelligence - Assistant Professor
- Network Institute - Assistant Professor
- Social AI - Assistant Professor
Person: Academic
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mr. Daan van den Berg, MSc
- Faculty of Science, Artificial intelligence - Lecturer
- Network Institute - Lecturer
- Artificial Intelligence (section level) - Lecturer
Person: Academic
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IMPROve: Intrinsic Capacity Maintenance for Promoting Healthy Aging
Schaap, L., van Schoor, N. M., Visser, M., Vollenbroek-Hutten, M. M. R., Wang, Y. & Francois Lavet, V.
1/06/23 → 31/05/28
Project: Research
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Evidence in Actie: Dynamisch standaardiseren van ervaringskennis en waarden in richtlijnen
Zuiderent-Jerak, T., Timen, A., Syurina, E., Kunneman, F., Lösch, L., Bongers, M., Stein, M. L. & Lösch, L.
1/09/20 → 31/10/23
Project: Research
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Horizons of interest: the geographical scope of knowledge in early modern chronicles (1500-1850)
Kuijpers, E., Siebes, R. M. & Kuhn, T.
1/11/21 → 31/08/22
Project: Research
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Evidence in Actie: Dynamisch standaardiseren van ervaringskennis en waarden in richtlijnen. Uitbreiding COVID-19 Vaccinatie
Zuiderent-Jerak, T., Timen, A., Syurina, E., Kunneman, F., Lösch, L., Bongers, M., Stein, M. L., Willems, W., el Fassi, S. & Morante Vallejo, R.
1/04/21 → 31/12/21
Project: Research
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Arbeidsparticipatie en technologie: Experimenteren met maatschappelijke impact
Regeer, B., Klein, M., Zuiderent-Jerak, T. & Grijseels, M.
1/03/19 → 1/06/20
Project: Research
Research output
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2ndWorkshop on Human-Interactive Robot Learning (HIRL)
Mirsky, R., Baraka, K., Faulkner, T. K., Hart, J., Yedidsion, H., Xiao, X., Idrees, I. & Gordon, E. K., Mar 2023, HRI 2023: Companion of the ACM/IEEE International Conference on Human-Robot Interaction. IEEE Computer Society, p. 947-949 3 p. (ACM/IEEE International Conference on Human-Robot Interaction).Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review
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A controlled adaptive computational network model of a virtual coach supporting speaking up by healthcare professionals to optimise patient safety
Doornkamp, S., Jabeen, F., Treur, J., Rob Taal, H. & Roelofsma, P., Sept 2023, In: Cognitive Systems Research. 81, p. 37-49 13 p.Research output: Contribution to Journal › Article › Academic › peer-review
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A Controlled Adaptive Self-modeling Network Model of Multilevel Organisational Learning for Individuals, Teams or Projects, and Organisation
Canbaloğlu, G., Treur, J. & Roelofsma, P. H. M. P., 2023, Computational Modeling of Multilevel Organisational Learning and its Control Using Self-Modeling Network Models. Springer Science and Business Media Deutschland GmbH, p. 123-152 30 p. (Studies in Systems, Decision and Control; vol. 468).Research output: Chapter in Book / Report / Conference proceeding › Chapter › Academic › peer-review
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Adaptive Dynamical Systems Modelling of Transformational Organizational Change: with Focus on Organizational Culture and Organizational Learning
Rass, L., Treur, J., Kucharska, W. & Wiewiora, A., Jun 2023, In: Cognitive Systems Research. 79, p. 85-108 24 p.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
Adaptive Mental Model Aggregation in Organisational Learning Using Boolean Propositions of Context Factors
Canbaloğlu, G. & Treur, J., 2023, Computational Modeling of Multilevel Organisational Learning and its Control Using Self-Modeling Network Models. Springer Science and Business Media Deutschland GmbH, p. 217-249 33 p. (Studies in Systems, Decision and Control; vol. 468).Research output: Chapter in Book / Report / Conference proceeding › Chapter › Academic › peer-review
Courses
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How Interacting Agents Use Different Types of Learning to Interact Adaptively (Invited Plenary Speech)
Sophie Hendrikse (Speaker) & Jan Treur (Speaker)
11 Nov 2022Activity: Lecture / Presentation › Academic
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On Emerging Patterns in Social Interaction and their Related Adaptive Mental Processes: an Agent-Based Adaptive Network Modeling Perspective (Keynote Speech)
Sophie Hendrikse (Speaker) & Jan Treur (Speaker)
16 Dec 2022 → 17 Dec 2022Activity: Lecture / Presentation › Academic
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From Multimodal Interaction to Multimodal Synchrony to Behavioral Adaptivity and Back: a Multi-Adaptive Agent Modeling Approach (Keynote Speech)
Sophie Hendrikse (Speaker) & Jan Treur (Speaker)
20 Oct 2022 → 22 Oct 2022Activity: Lecture / Presentation › Academic
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Computational Modeling of Multilevel Organisational Learning Using Self-Modeling Network Models (Keynote Speech)
Gülay Canbaloğlu (Speaker) & Jan Treur (Speaker)
14 Oct 2022 → 16 Oct 2022Activity: Lecture / Presentation › Academic
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Computational Analysis and Simulation of Organisational Learning (Keynote Speech)
Gülay Canbaloğlu (Speaker) & Jan Treur (Speaker)
12 Dec 2022 → 14 Dec 2022Activity: Lecture / Presentation › Academic
Prizes
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1st prize for best LOD application (Netherlands)
Beek, W.G.J. (Recipient), Rietveld, L.J. (Recipient) & Schlobach, S. (Recipient), 2015
Prize › Academic
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2001 IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION OUTSTANDING PAPER AWARD
Eiben, AE (Recipient), 2001
Prize › Academic
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3rd prize for best LOD application (Europe)
Beek, W.G.J. (Recipient), Rietveld, L.J. (Recipient) & Schlobach, S. (Recipient), 2015
Prize › Academic
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best paper award at the 16th IEEE International Conference on Ubiquitous Computing and Communications (IUCC 2017
Bozdog, Vladimir (Recipient), Makkes, Marc (Recipient), Uta, Alexandru (Recipient), Bharath Das, Roshan (Recipient), van Halteren, Aart (Recipient) & Bal, HE (Recipient), Dec 2017
Prize › Academic
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Best paper award EvoApps
Weel, Berend (Recipient), Haasdijk, E.W. (Recipient) & Eiben, AE (Recipient), 13 Apr 2012
Prize › Academic
Datasets
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Distribution of Errors Reported by LOD2 LODStats Project
Hoekstra, R. (Creator) & Groth, P. T. (Creator), Figshare, 2 May 2013
DOI: 10.6084/m9.figshare.695949
Dataset
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kgbench: amplus
Bloem, P. (Contributor), Wilcke, X. (Contributor), van Berkel, L. (Contributor) & de Boer, V. (Contributor), Zenodo, 2020
DOI: 10.5281/zenodo.4361762, https://zenodo.org/record/4361762
Dataset
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Replication Data for: The Influence of Robot Traits and Evolutionary Dynamics on the Reality Gap
van Diggelen, F. (Contributor), DataverseNL, 1 Jan 2021
DOI: 10.34894/ggnaq3, https://dataverse.nl/citation?persistentId=doi:10.34894/GGNAQ3
Dataset
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Short story generation with Knowledge Graphs
Tiddi, I. (Creator), Zenodo, 2022
DOI: 10.5281/zenodo.7081523, https://zenodo.org/record/7081523
Dataset
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Meterstick Benchmark: Source, Documentation and Data
Eickhoff, J. (Creator), Donkervliet, J. (Creator) & Iosup, A. (Creator), Zenodo, 2021
DOI: 10.5281/zenodo.7657838, https://zenodo.org/record/7657838
Dataset