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Iscience|April 2, 2021
Blaming automated vehicles in difficult situationsMatija Franklin, Edmond Awad, David LagnadoCognitive Psychology|May 11, 2020
The propensity interpretation of probability and diagnostic split in explaining awayMarko Tešić, Alice Liefgreen, David LagnadoTopics in Cognitive Science|March 13, 2019
Analyzing the Simonshaven Case Using Bayesian NetworksNorman Fenton, Martin Neil, Barbaros Yet, et al.The Behavioral and Brain Sciences|April 5, 2023
Unpredictable robots elicit responsibility attributionsMatija Franklin, Edmond Awad, Hal Ashton, et al.Frontiers in Psychology|November 23, 2020
Explaining Away, Augmentation, and the Assumption of IndependenceNicole Cruz, Ulrike Hahn, Norman Fenton, et al.Journal of Experimental Psychology. Learning, Memory, and Cognition|December 22, 2014
Temporal and statistical information in causal structure learningTeresa McCormack, Caren Frosch, Fiona Patrick, et al.Forensic Science International. Synergy|May 25, 2026
A Bayesian network approach to evaluating footwear evidenceDanyela Kellett, David Lagnado, Ruth Morgan, et al.Science & Justice : Journal of the Forensic Science Society|July 2, 2019
Resolving the so-called "probabilistic paradoxes in legal reasoning" with Bayesian networksJacob de Zoete, Norman Fenton, Takao Noguchi, et al.Science & Justice : Journal of the Forensic Science Society|May 3, 2015
Modelling crime linkage with Bayesian networksJacob de Zoete, Marjan Sjerps, David Lagnado, et al.Artificial Intelligence and Law|April 10, 2020
Modelling competing legal arguments using Bayesian model comparison and averagingMartin Neil, Norman Fenton, David Lagnado, et al.Pageof 5