Browse by Research Centre
Up a level |
Article
Caso, Andrea and Cooper, Richard P. (2020) A neurally plausible schema-theoretic approach to modelling cognitive dysfunction and neurophysiological markers in Parkinson's Disease. Neuropsychologia 140 (107359), ISSN 0028-3932.
Collins, P.J. and Hahn, Ulrike (2020) We might be wrong, but we think that hedging doesn't protect your reputation. Journal of Experimental Psychology: Learning, Memory, and Cognition 46 (7), pp. 1328-1348. ISSN 0278-7393.
Collins, P.J. and Krzyzanowska, K. and Hartmann, S. and Wheeler, G. and Hahn, Ulrike (2020) Conditionals and Testimony. Cognitive Psychology 122 (101329), ISSN 0010-0285.
Guest, O. and Caso, A. and Cooper, Richard P. (2020) On simulating neural damage in Connectionist Networks. Computational Brain & Behavior 3 , pp. 289-321. ISSN 2522-087X.
Hahn, Ulrike (2020) Argument quality in Real-World Argumentation. Trends in Cognitive Sciences 24 (5), pp. 363-374. ISSN 1364-6613.
Hahn, Ulrike and Hansen, J.U. and Olsson, E.J. (2020) Truth tracking performance of social networks: how connectivity and clustering can make groups less competent. Synthese 197 , pp. 1511-1541. ISSN 0039-7857.
Madsen, J.K. and Hahn, Ulrike and Pilditch, T.D. (2020) The impact of partial source dependence on belief and reliability revision. Journal of Experimental Psychology: Learning, Memory, and Cognition 46 (9), pp. 1795-1805. ISSN 0278-7393.
Pilditch, T.D. and Hahn, Ulrike and Fenton, N. and Lagnado, D.A. (2020) Dependencies in evidential reports: the case for informational advantages. Cognition 204 (104343), ISSN 0010-0277.
Book Section
Buyakin, Eugene V. and Cooper, Richard P. (2020) Automatic and controlled sentence production: a computational model. In: UNSPECIFIED (ed.) Developing a Mind: Learning in Humans, Animals, and Machines - Proceedings of the 42nd Annual Conference of the Cognitive Science Society. Cognitive Science Society.