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
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
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
Cognition and intractability: A guide to classical and parameterized complexity analysis
I Van Rooij, M Blokpoel, J Kwisthout, T Wareham
Cambridge University Press, 2019
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
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
Perception is in the details: A predictive coding account of the psychedelic phenomenon
S Hashkes, I Van Rooij, J Kwisthout
Proceedings of the 39th Annual Meeting of the Cognitive Science Society …, 2017
The computational complexity of probabilistic networks
JHP Kwisthout
Utrecht University, 2009
How action understanding can be rational, Bayesian and tractable
M Blokpoel, JHP Kwisthout, TP Weide, I van Rooij
Austin: Cognitive Science Society, 2010
Can infants' sense of agency be found in their behavior? Insights from babybot simulations of the mobile-paradigm
L Zaadnoordijk, M Otworowska, J Kwisthout, S Hunnius
Cognition 181, 58-64, 2018
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
Computational resource demands of a predictive Bayesian brain
J Kwisthout, I Van Rooij
Computational Brain & Behavior 3 (2), 174-188, 2020
Tree-width and the computational complexity of MAP approximations in Bayesian networks
J Kwisthout
Journal of Artificial Intelligence Research 53, 699-720, 2015
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