- Reasoning Studies. From Single Norms to Individual Differences.Niels Skovgaard-Olsen - 2022 - Dissertation, University of Freiburgdetails
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Causal models versus reason models in Bayesian networks for legal evidence.Eivind Kolflaath & Christian Dahlman - 2022 - Synthese 200 (6).details
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Motive on the mind: Explanatory preferences at multiple stages of the legal-investigative process.Alice Liefgreen, Sami R. Yousif, Frank C. Keil & David A. Lagnado - 2021 - Cognition 217 (C):104892.details
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A probabilistic analysis of cross‐examination using Bayesian networks.Marcello Di Bello - 2021 - Philosophical Issues 31 (1):41-65.details
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Dependencies in evidential reports: The case for informational advantages.Toby D. Pilditch, Ulrike Hahn, Norman Fenton & David Lagnado - 2020 - Cognition 204 (C):104343.details
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Modelling competing legal arguments using Bayesian model comparison and averaging.Martin Neil, Norman Fenton, David Lagnado & Richard David Gill - 2019 - Artificial Intelligence and Law 27 (4):403-430.details
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Norm Conflicts and Conditionals.Niels Skovgaard-Olsen, David Kellen, Ulrike Hahn & Karl Christoph Klauer - 2019 - Psychological Review 126 (5):611-633.details
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(1 other version)Evidential Reasoning.Marcello Di Bello & Bart Verheij - 2011 - In G. Bongiovanni, Don Postema, A. Rotolo, G. Sartor, C. Valentini & D. Walton (eds.), Handbook in Legal Reasoning and Argumentation. Dordrecht, Netherland: Springer. pp. 447-493.details
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The Oxford Handbook of Causal Reasoning.Michael Waldmann (ed.) - 2017 - Oxford, England: Oxford University Press.details
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A Bayesian model of legal syllogistic reasoning.Axel Constant - 2024 - Artificial Intelligence and Law 32 (2):441-462.details
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Measuring coherence with Bayesian networks.Alicja Kowalewska & Rafal Urbaniak - 2023 - Artificial Intelligence and Law 31 (2):369-395.details
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Lawmaps: enabling legal AI development through visualisation of the implicit structure of legislation and lawyerly process.Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Norman Fenton & Lisa C. Webley - 2023 - Artificial Intelligence and Law 31 (1):169-194.details
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Artificial intelligence as law. [REVIEW]Bart Verheij - 2020 - Artificial Intelligence and Law 28 (2):181-206.details
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Formal models of source reliability.Christoph Merdes, Momme von Sydow & Ulrike Hahn - 2020 - Synthese 198 (S23):5773-5801.details
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Proof with and without probabilities.Bart Verheij - 2017 - Artificial Intelligence and Law 25 (1):127-154.details
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The Appeal to Expert Opinion: Quantitative Support for a Bayesian Network Approach.Adam J. L. Harris, Ulrike Hahn, Jens K. Madsen & Anne S. Hsu - 2016 - Cognitive Science 40 (6):1496-1533.details
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The Bi-directional Relationship between Source Characteristics and Message Content.Peter J. Collins, Ulrike Hahn, Ylva von Gerber & Erik J. Olsson - 2015 - Frontiers in Psychology 9.details
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Individuals vs. BARD: Experimental Evaluation of an Online System for Structured, Collaborative Bayesian Reasoning.Kevin B. Korb, Erik P. Nyberg, Abraham Oshni Alvandi, Shreshth Thakur, Mehmet Ozmen, Yang Li, Ross Pearson & Ann E. Nicholson - 2020 - Frontiers in Psychology 11.details
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The Hybrid Theory of Stories and Arguments Applied to the Simonshaven Case.Floris J. Bex - 2020 - Topics in Cognitive Science 12 (4):1152-1174.details
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Causal Responsibility and Counterfactuals.David A. Lagnado, Tobias Gerstenberg & Ro'I. Zultan - 2013 - Cognitive Science 37 (6):1036-1073.details
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Editors' Review and Introduction: Models of Rational Proof in Criminal Law.Henry Prakken, Floris Bex & Anne Ruth Mackor - 2020 - Topics in Cognitive Science 12 (4):1053-1067.details
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The reasonable doubt standard as inference to the best explanation.Hylke Jellema - 2020 - Synthese 199 (1-2):949-973.details
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Analyzing the Simonshaven Case Using Bayesian Networks.Norman Fenton, Martin Neil, Barbaros Yet & David Lagnado - 2020 - Topics in Cognitive Science 12 (4):1092-1114.details
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Narration in judiciary fact-finding: a probabilistic explication.Rafal Urbaniak - 2018 - Artificial Intelligence and Law 26 (4):345-376.details
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A counterfactual simulation model of causation by omission.Tobias Gerstenberg & Simon Stephan - 2021 - Cognition 216 (C):104842.details
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Analyzing the Simonshaven Case With and Without Probabilities.Bart Verheij - 2020 - Topics in Cognitive Science 12 (4):1175-1199.details
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On modelling non-probabilistic uncertainty in the likelihood ratio approach to evidential reasoning.Jeroen Keppens - 2014 - Artificial Intelligence and Law 22 (3):239-290.details
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Building Bayesian networks for legal evidence with narratives: a case study evaluation.Charlotte S. Vlek, Henry Prakken, Silja Renooij & Bart Verheij - 2014 - Artificial Intelligence and Law 22 (4):375-421.details
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Calculating and understanding the value of any type of match evidence when there are potential testing errors.Norman Fenton, Martin Neil & Anne Hsu - 2014 - Artificial Intelligence and Law 22 (1):1-28.details
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Drawing conclusions: Representing and evaluating competing explanations.Alice Liefgreen & David A. Lagnado - 2023 - Cognition 234 (C):105382.details
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Are Jurors Intuitive Statisticians? Bayesian Causal Reasoning in Legal Contexts.Tamara Shengelia & David Lagnado - 2021 - Frontiers in Psychology 11.details
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Legal idioms: a framework for evidential reasoning.David A. Lagnado, Norman Fenton & Martin Neil - 2013 - Argument and Computation 4 (1):46 - 63.details
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