Johan Kwisthout
Johan Kwisthout
Associate Professor, Radboud University Nijmegen, Donders Center for Cognition
Verified email at - Homepage
Cited by
Cited by
Most probable explanations in Bayesian networks: Complexity and tractability
J Kwisthout
International Journal of Approximate Reasoning 52 (9), 1452-1469, 2011
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
Bayesian intractability is not an ailment that approximation can cure.
J Kwisthout, T Wareham, I van Rooij
Cogn. Sci. 35 (5), 779-784, 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
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
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
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
Bridging the gap between theory and practice of approximate Bayesian inference
J Kwisthout, I Van Rooij
Cognitive Systems Research 24, 2-8, 2013
Joint attention and language evolution
J Kwisthout, P Vogt, P Haselager, T Dijkstra
Connection Science 20 (2-3), 155-171, 2008
Cognition and intractability: A guide to classical and parameterized complexity analysis
I Van Rooij, M Blokpoel, J Kwisthout, T Wareham
Cambridge University Press, 2019
The computational complexity of probabilistic networks
JHP Kwisthout
Utrecht University, 2009
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
How action understanding can be rational, Bayesian and tractable
M Blokpoel, JHP Kwisthout, TP Weide, I van Rooij
Austin: Cognitive Science Society, 2010
Perception is in the Details: A Predictive Coding Account of the Psychedelic Phenomenon.
S Pink-Hashkes, I van Rooij, J Kwisthout
CogSci 2017, 26-29, 2017
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
The computational complexity of sensitivity analysis and parameter tuning
J Kwisthout, LC Van Der Gaag
arXiv preprint arXiv:1206.3265, 2012
When can predictive brains be truly Bayesian?
M Blokpoel, J Kwisthout, I van Rooij
Frontiers in psychology 3, 406, 2012
The computational complexity of probabilistic inference
J Kwisthout
Radboud University Nijmegen, 2011
Approximate inference in Bayesian networks: Parameterized complexity results
J Kwisthout
International Journal of Approximate Reasoning 93, 119-131, 2018
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
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