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David Lagnado

Showing results (11-20 of 33) with videos related to

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Journal of Experimental Psychology. Learning, Memory, and Cognition|January 17, 2020
Strange but true: Corroboration and base rate neglectToby D Pilditch, Sandra Lagator, David Lagnado
Topics 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.
Cognition|June 30, 2020
Dependencies in evidential reports: The case for informational advantagesToby D Pilditch, Ulrike Hahn, Norman Fenton, et al.
Pageof 4

Showing results (11-20 of 33) with videos related to

Sort By:
Pageof 4
Journal of Experimental Psychology. Learning, Memory, and Cognition|January 17, 2020
Strange but true: Corroboration and base rate neglectToby D Pilditch, Sandra Lagator, David Lagnado
Topics 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.
Cognition|June 30, 2020
Dependencies in evidential reports: The case for informational advantagesToby D Pilditch, Ulrike Hahn, Norman Fenton, et al.
Pageof 4