Johan Kwisthout
Johan Kwisthout
Assistant Professor, Radboud University Nijmegen, Donders Center for Cognition
Verified email at - Homepage
TitleCited byYear
Most probable explanations in Bayesian networks: Complexity and tractability
J Kwisthout
International Journal of Approximate Reasoning 52 (9), 1452-1469, 2011
The Necessity of Bounded Treewidth for Efficient Inference in Bayesian Networks.
J Kwisthout, HL Bodlaender, LC van der Gaag
ECAI 215, 237-242, 2010
Bayesian intractability is not an ailment that approximation can cure.
J Kwisthout, T Wareham, I van Rooij
Cognitive Science 35 (5), 779-784, 2011
Bridging the gap between theory and practice of approximate Bayesian inference
J Kwisthout, I Van Rooij
Cognitive Systems Research 24, 2-8, 2013
To be precise, the details don’t matter: on predictive processing, precision, and level of detail of predictions
J Kwisthout, H Bekkering, I Van Rooij
Brain and cognition 112, 84-91, 2017
Intentional communication: Computationally easy or difficult?
I Van Rooij, J Kwisthout, M Blokpoel, J Szymanik, T Wareham, I Toni
Frontiers in human neuroscience 5, 52, 2011
Joint attention and language evolution
J Kwisthout, P Vogt, P Haselager, T Dijkstra
Connection Science 20 (2-3), 155-171, 2008
Beta-and gamma-band activity reflect predictive coding in the processing of causal events
S van Pelt, L Heil, J Kwisthout, S Ondobaka, I van Rooij, H Bekkering
Social cognitive and affective neuroscience 11 (6), 973-980, 2016
Community-based influence maximization in social networks under a competitive linear threshold model
A Bozorgi, S Samet, J Kwisthout, T Wareham
Knowledge-Based Systems 134, 149-158, 2017
How action understanding can be rational, Bayesian and tractable
M Blokpoel, J Kwisthout, TP Van der Weide, I Van Rooij
Proceedings of the Annual Meeting of the Cognitive Science Society 32 (32), 2010
The computational complexity of probabilistic networks
JHP Kwisthout
Utrecht University, 2009
A computational-level explanation of the speed of goal inference
M Blokpoel, J Kwisthout, TP van der Weide, T Wareham, I van Rooij
Journal of Mathematical Psychology 57 (3-4), 117-133, 2013
When can predictive brains be truly Bayesian?
M Blokpoel, J Kwisthout, I van Rooij
Frontiers in psychology 3, 406, 2012
The computational complexity of sensitivity analysis and parameter tuning
J Kwisthout, LC Van Der Gaag
arXiv preprint arXiv:1206.3265, 2012
The computational complexity of probabilistic inference
J Kwisthout
Radboud University Nijmegen, 2011
Rational analysis, intractability, and the prospects of ‘as if’-explanations
I van Rooij, CD Wright, J Kwisthout, T Wareham
Synthese 195 (2), 491-510, 2018
Best-response planning of thermostatically controlled loads under power constraints
F De Nijs, MTJ Spaan, MM de Weerdt
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
The complexity of finding kth most probable explanations in probabilistic networks
JHP Kwisthout, HL Bodlaender, LC Van Der Gaag
International Conference on Current Trends in Theory and Practice of …, 2011
The computational costs of recipient design and intention recognition in communication
M Blokpoel, J Kwisthout, T Wareham, P Haselager, I Toni, I Van Rooij
Proceedings of the Annual Meeting of the Cognitive Science Society 33 (33), 2011
Complexity results for enhanced qualitative probabilistic networks
J Kwisthout, G Tel
International journal of approximate reasoning 48 (3), 879-888, 2008
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