Research Topics
| David A LagnadoSummaryAffiliation: University College London Country: UK Publications
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Detail Information
Publications
Probability judgment in hierarchical learning: a conflict between predictiveness and coherenceDavid A Lagnado
Department of Psychology, University College London, Gower Street, WC1E 6BT, London, UK
Cognition 83:81-112. 2002..These results are difficult to explain within a unitary model of inference, whether associative or frequency-based. In the light of this, and other findings in the judgment and learning literature, a dual-component model is proposed...- The influence of hierarchy on probability judgmentDavid A Lagnado
Department of Psychology, University College London, Gower Street, WC1E 6BT London, UK
Cognition 89:157-78. 2003..These results highlight the importance of the level at which statistical data are represented, and suggest that when faced with hierarchical inference problems people adopt a simplifying heuristic that assumes alignment... - The advantage of timely interventionDavid A Lagnado
Department of Psychology, University College London, Gower Street, London WC1E 6BT, UK
J Exp Psychol Learn Mem Cogn 30:856-76. 2004..Results supported this temporal cue hypothesis... - Insight and strategy in multiple-cue learningDavid A Lagnado
Department of Psychology, University College London, London, United Kingdom
J Exp Psychol Gen 135:162-83. 2006..Learning analyses suggested that the apparent use of suboptimal strategies emerges from the incremental tracking of statistical contingencies in the environment... - Time as a guide to causeDavid A Lagnado
Department of Psychology, University College London, London, United Kingdom
J Exp Psychol Learn Mem Cogn 32:451-60. 2006..A hypothesis-driven account of learning is endorsed, whereby people use cues such as temporal order to generate initial models and then test these models against the incoming covariational data... 
The impact of discredited evidenceDavid A Lagnado
University College London, London, England
Psychon Bull Rev 15:1166-73. 2008..To explain these findings, we draw on coherence-based models of juror reasoning and propose that people group evidence according to its direction with respect to the guilt hypothesis...- Judgments of cause and blame: the effects of intentionality and foreseeabilityDavid A Lagnado
Department of Cognitive, Perceptual and Brain Sciences, University College London, London WC1E 6BT, UK
Cognition 108:754-70. 2008..New York: Springer-Verlag] and [Alicke, M. D. (2000). Culpable control and the psychology of blame. Psychological Bulletin, 126, 556-574]. Overall, it is argued that the data are more consistent with Alicke's model of culpable control... - Medication impairs probabilistic classification learning in Parkinson's diseaseMarjan Jahanshahi
Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, Queen Square, London, WC1N 3 BG, United Kingdom
Neuropsychologia 48:1096-103. 2010..These results highlight the need for careful 'titration' of dopaminergic medication to produce the desired improvement of the motor symptoms without the associated detrimental effects on cognition and learning... - Deep brain stimulation of the subthalamic nucleus selectively improves learning of weakly associated cue combinations during probabilistic classification learning in Parkinson's diseaseLeonora Wilkinson
Sobell Department of Motor Neuroscience and Movement Disorders, Institute of Neurology, University College London, London, England
Neuropsychology 25:286-94. 2011.... - Spreading the blame: The allocation of responsibility amongst multiple agentsTobias Gerstenberg
Department of Cognitive, Perceptual and Brain Sciences, University College London, UK
Cognition 115:166-71. 2010..The predictions of different cognitive models of attribution were tested, and the Structural Model (Chockler & Halpern, 2004) predicted the data best... - When contributions make a difference: explaining order effects in responsibility attributionTobias Gerstenberg
Cognitive, Perceptual and Brain Sciences, University College London, 26, Bedford Way, London, WC1H 0AP, UK
Psychon Bull Rev 19:729-36. 2012.... - The effect of feedback on non-motor probabilistic classification learning in Parkinson's diseaseLeonora Wilkinson
Cognitive Motor Neuroscience Group, Sobell Department of Motor Neuroscience and Movement Disorders, Institute of Neurology, The National Hospital for Neurology and Neurosurgery, University College London, London, United Kingdom
Neuropsychologia 46:2683-95. 2008..Our results do not support the proposal that the striatum plays a specific role in probabilistic classification learning with feedback... - Challenging the role of implicit processes in probabilistic category learningBen R Newell
School of Psychology, University of New South Wales, Sydney, New South Wales, Australia
Psychon Bull Rev 14:505-11. 2007..These findings have important implications for the study of probabilistic category learning in both normal and patient populations...