Mark Hoogendoorn
Mark Hoogendoorn
Associate Professor of Artificial Intelligence, VU University Amsterdam
Verified email at
Cited by
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Parameter control in evolutionary algorithms: Trends and challenges
G Karafotias, M Hoogendoorn, ┴E Eiben
IEEE Transactions on Evolutionary Computation 19 (2), 167-187, 2014
Modelling collective decision making in groups and crowds: Integrating social contagion and interacting emotions, beliefs and intentions
T Bosse, M Hoogendoorn, MCA Klein, J Treur, CN Van Der Wal, ...
Autonomous Agents and Multi-Agent Systems 27 (1), 52-84, 2013
Modeling centralized organization of organizational change
M Hoogendoorn, CM Jonker, MC Schut, J Treur
Computational and Mathematical Organization Theory 13 (2), 147-184, 2007
Formal modelling and comparing of disaster plans
M Hoogendoorn, CM Jonker, V Popova, A Sharpaskykh, L Xu
Proceedings of the second international conference on information systemsá…, 2005
Modeling the Dynamics of Mood and Depression.
F Both, M Hoogendoorn, MCA Klein, J Treur
ECAI, 266-270, 2008
Agent-based analysis of patterns in crowd behaviour involving contagion of mental states
T Bosse, M Hoogendoorn, MCA Klein, J Treur, CN Van Der Wal
International Conference on Industrial, Engineering and Other Applicationsá…, 2011
The triangle of life: Evolving robots in real-time and real-space
AE Eiben, N Bredeche, M Hoogendoorn, J Stradner, J Timmis, AM Tyrrell, ...
Artificial Life Conference Proceedings 13, 1056-1063, 2013
Modeling situation awareness in human-like agents using mental models
M Hoogendoorn, RM Van Lambalgen, J Treur
IJCAI Proceedings-International Joint Conference on Artificial Intelligenceá…, 2011
Adaptation of Organizational Models for Multi-Agent Systems Based on Max Flow Networks.
M Hoogendoorn
IJCAI 7, 1321-1326, 2007
Modelling the interplay of emotions, beliefs and intentions within collective decision making based on insights from social neuroscience
M Hoogendoorn, J Treur, CN Van Der Wal, A Van Wissen
International Conference on Neural Information Processing, 196-206, 2010
An adaptive multi-agent organization model based on dynamic role allocation
M Hoogendoorn, J Treur
International journal of knowledge-based and intelligent engineering systemsá…, 2009
Generic parameter control with reinforcement learning
G Karafotias, AE Eiben, M Hoogendoorn
Proceedings of the 2014 Annual Conference on Genetic and Evolutionaryá…, 2014
Modeling dynamics of relative trust of competitive information agents
M Hoogendoorn, SW Jaffry, J Treur
International Workshop on Cooperative Information Agents, 55-70, 2008
Machine learning for the quantified self
M Hoogendoorn, B Funk
On the art of learning from sensory data, 2018
Predicting social anxiety treatment outcome based on therapeutic email conversations
M Hoogendoorn, T Berger, A Schulz, T Stolz, P Szolovits
IEEE journal of biomedical and health informatics 21 (5), 1449-1459, 2016
Utilizing uncoded consultation notes from electronic medical records for predictive modeling of colorectal cancer
M Hoogendoorn, P Szolovits, LMG Moons, ME Numans
Artificial intelligence in medicine 69, 53-61, 2016
Agent-based vs. population-based simulation of displacement of crime: A comparative study
T Bosse, C Gerritsen, M Hoogendoorn, SW Jaffry, J Treur
Web Intelligence and Agent Systems: An International Journal 9 (2), 147-160, 2011
An agent-based model for the interplay of information and emotion in social diffusion
M Hoogendoorn, J Treur, CN van der Wal, A van Wissen
2010 IEEE/WIC/ACM International Conference on Web Intelligence andá…, 2010
Prediction using patient comparison vs. modeling: a case study for mortality prediction
M Hoogendoorn, A El Hassouni, K Mok, M Ghassemi, P Szolovits
2016 38th Annual International Conference of the IEEE Engineering iná…, 2016
An ambient agent model for monitoring and analysing dynamics of complex human behaviour
T Bosse, M Hoogendoorn, MCA Klein, J Treur
Journal of Ambient Intelligence and Smart Environments 3 (4), 283-303, 2011
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