Johan Kwisthout
Johan Kwisthout
Associate Professor, Radboud University Nijmegen, Donders Center for Cognition
Geverifieerd e-mailadres voor donders.ru.nl - Homepage
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Most probable explanations in Bayesian networks: Complexity and tractability
J Kwisthout
International Journal of Approximate Reasoning 52 (9), 1452-1469, 2011
962011
Bayesian intractability is not an ailment that approximation can cure.
J Kwisthout, T Wareham, I van Rooij
Cogn. Sci. 35 (5), 779-784, 2011
742011
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
732017
The Necessity of Bounded Treewidth for Efficient Inference in Bayesian Networks.
J Kwisthout, HL Bodlaender, LC van der Gaag
ECAI 215, 237-242, 2010
692010
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
642011
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
552017
Bridging the gap between theory and practice of approximate Bayesian inference
J Kwisthout, I Van Rooij
Cognitive Systems Research 24, 2-8, 2013
452013
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
442016
Joint attention and language evolution
J Kwisthout, P Vogt, P Haselager, T Dijkstra
Connection Science 20 (2-3), 155-171, 2008
342008
Cognition and intractability: A guide to classical and parameterized complexity analysis
I Van Rooij, M Blokpoel, J Kwisthout, T Wareham
Cambridge University Press, 2019
282019
The computational complexity of probabilistic networks
JHP Kwisthout
Utrecht University, 2009
252009
How action understanding can be rational, Bayesian and tractable
M Blokpoel, JHP Kwisthout, TP Weide, I van Rooij
Austin: Cognitive Science Society, 2010
232010
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
222018
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
172017
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
172013
The computational complexity of sensitivity analysis and parameter tuning
J Kwisthout, LC Van Der Gaag
arXiv preprint arXiv:1206.3265, 2012
162012
Best-response planning of thermostatically controlled loads under power constraints
F De Nijs, M Spaan, M de Weerdt
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
152015
When can predictive brains be truly Bayesian?
M Blokpoel, J Kwisthout, I van Rooij
Frontiers in psychology 3, 406, 2012
152012
The computational complexity of probabilistic inference
J Kwisthout
Radboud University Nijmegen, 2011
152011
Approximate inference in Bayesian networks: Parameterized complexity results
J Kwisthout
International Journal of Approximate Reasoning 93, 119-131, 2018
142018
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Artikelen 1–20