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ORCIDDavid A. Lagnado
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- affiliation: University College London, UK
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2020 – today
- 2024
[i3]Evangelia Kyrimi, Scott McLachlan, Jared M. Wohlgemut, Zane B. Perkins, David A. Lagnado, William Marsh, ExAIDSS Expert Group:
Explainable AI: Definition and attributes of a good explanation for health AI. CoRR abs/2409.15338 (2024)- 2023
- [j12]Stephen H. Dewitt, Nine Adler, Carmen Li, Ekaterina Stoilova, Norman E. Fenton, David A. Lagnado:
Categorical Updating in a Bayesian Propensity Problem. Cogn. Sci. 47(7) (2023) - [c49]Victor Btesh, David A. Lagnado, Maarten Speekenbrink, Neil R. Bramley:
Swipe and hold: composing interventions in continuous time causal learning. CogSci 2023 - [c48]Vanessa Cheung, David A. Lagnado:
Defendant character influences mock juror judgments of blame, guilt, and punishment. CogSci 2023 - [c47]Stephen H. Dewitt, Sammy Glatzel, David A. Lagnado:
How does knowledge of detainment affect juror reasoning? CogSci 2023 - [c46]Matija Franklin, Trisevgeni Papakonstantinou, Tianshu Chen, Carlos Fernandez-Basso, David A. Lagnado:
Blame attribution in human-AI and human-only systems: Crowdsourcing judgments from Twitter. CogSci 2023 - [c45]Ziyi Guo, Christos Bechlivanidis, David A. Lagnado:
Expectation of temporal delays shapes Judgement of Causal Strength and Causal Structure. CogSci 2023 - [c44]Laura Elaine Strittmatter, Stephen H. Dewitt, David A. Lagnado:
Do people prefer prediction over accommodation? An empirical study. CogSci 2023 - [c43]Matija Franklin, David A. Lagnado, Chulhong Min, Akhil Mathur, Fahim Kawsar:
Enhancing Wearable Technologies for Dementia Care: A Cognitive Architecture Approach. EXTRAAMAS 2023: 270-280 - [c42]Matija Franklin
, Trisevgeni Papakonstantinou, Tianshu Chen, Carlos Fernandez-Basso, David A. Lagnado:
An Unsupervised Approach to Extracting Knowledge from the Relationships Between Blame Attribution on Twitter. FQAS 2023: 221-233 - [c41]Jesica Gómez-Sánchez, Cristina Gordo, Matija Franklin, Carlos Fernandez-Basso, David A. Lagnado:
Who Is to Blame? Responsibility Attribution in AI Systems vs Human Agents in the Field of Air Crashes. FQAS 2023: 256-264 - 2022
- [c40]Matija Franklin, Hal Ashton, Edmond Awad, David A. Lagnado:
Causal Framework of Artificial Autonomous Agent Responsibility. AIES 2022: 276-284 - [c39]Stephen H. Dewitt, Ekaterina Stoilova, David A. Lagnado:
Exploring the Richness of Human Causal Reasoning with Think Aloud Data. CogSci 2022 - [c38]Aidah Nakakande Ferguson, Matija Franklin, David A. Lagnado:
Explanations that backfire: Explainable artificial intelligence can cause information overload. CogSci 2022 - [c37]Matija Franklin, David A. Lagnado:
Human-AI Interaction Paradigm for Evaluating Explainable Artificial Intelligence. HCI (37) 2022: 404-411 - 2021
- [j11]Antonio Rago, Oana Cocarascu, Christos Bechlivanidis, David A. Lagnado, Francesca Toni:
Argumentative explanations for interactive recommendations. Artif. Intell. 296: 103506 (2021) - [c36]Stephen H. Dewitt, Carmen Li, Daniel Koh, Norman E. Fenton, David A. Lagnado:
Categorical Belief Updating Under Uncertainty. CogSci 2021 - [c35]Lara Kirfel, David A. Lagnado:
Causation by Ignorance. CogSci 2021 - [c34]Alice Liefgreen, David A. Lagnado:
The role of causal models in evaluating simple and complex legal explanations. CogSci 2021 - [c33]Matija Franklin, David A. Lagnado, Chulhong Min, Akhil Mathur, Fahim Kawsar:
Designing Memory Aids for Dementia Patients using Earables. UbiComp/ISWC Adjunct 2021: 152-157 - 2020
- [j10]Christoph Hoerl, Sara Lorimer, Teresa McCormack, David A. Lagnado, Emma Blakey, Emma Tecwyn, Marc J. Buehner:
Temporal Binding, Causation, and Agency: Developing a New Theoretical Framework. Cogn. Sci. 44(5) (2020) - [j9]Norman E. Fenton, Martin Neil, Barbaros Yet, David A. Lagnado:
Analyzing the Simonshaven Case Using Bayesian Networks. Top. Cogn. Sci. 12(4): 1092-1114 (2020) - [c32]Alice Liefgreen, Sami R. Yousif, Frank Keil, David A. Lagnado:
I don't know if you did it, but I know why: A 'motive' preference at multiple stages of the legal-investigative process. CogSci 2020 - [i2]Ann E. Nicholson, Kevin B. Korb, Erik P. Nyberg, Michael Wybrow, Ingrid Zukerman, Steven Mascaro, Shreshth Thakur, Abraham Oshni Alvandi, Jeff Riley, Ross Pearson, Shane Morris, Matthieu Herrmann, A. K. M. Azad, Fergus Bolger, Ulrike Hahn, David A. Lagnado:
BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning. CoRR abs/2003.01207 (2020)
2010 – 2019
- 2019
- [j8]Martin Neil, Norman E. Fenton, David A. Lagnado, Richard David Gill:
Modelling competing legal arguments using Bayesian model comparison and averaging. Artif. Intell. Law 27(4): 403-430 (2019) - [c31]Lara Kirfel, David A. Lagnado:
I know what you did last summer (and how often). Epistemic states and statistical normality in causal judgements. CogSci 2019: 575-581 - [c30]Toby D. Pilditch, Alexander Fries, David A. Lagnado:
Deception in evidential reasoning: Willful deceit or honest mistake? CogSci 2019: 931-937 - [c29]Toby D. Pilditch, Alice Liefgreen, David A. Lagnado:
Zero-sum reasoning in information selection. CogSci 2019: 938-943 - [c28]Stephen H. Dewitt, Anne Hsu, David A. Lagnado, Saoirse Connor Desai, Norman E. Fenton:
Nested Sets and Natural Frequencies. CogSci 2019: 1633-1639 - [c27]Toby D. Pilditch, Ulrike Hahn, David A. Lagnado:
Shared Evidence: It all depends... CogSci 2019: 2571-2577 - [c26]Alice Liefgreen, Toby D. Pilditch, David A. Lagnado:
Selecting and evaluating evidence: The garden of forking information paths. CogSci 2019: 3306 - 2018
- [j7]Leila Schneps, Richard E. Overill, David A. Lagnado:
Ranking the Impact of Different Tests on a Hypothesis in a Bayesian Network. Entropy 20(11): 856 (2018) - [c25]Stephen H. Dewitt, David A. Lagnado, Norman E. Fenton:
Updating Prior Beliefs Based on Ambiguous Evidence. CogSci 2018 - [c24]Lara Kirfel, David A. Lagnado:
Statistical norm effects in causal cognition. CogSci 2018 - [c23]Alice Liefgreen, Marko Tesic, David A. Lagnado:
Explaining away: significance of priors, diagnostic reasoning and structural complexity. CogSci 2018 - [c22]Toby D. Pilditch, Ulrike Hahn, David A. Lagnado:
Integrating dependent evidence: naïve reasoning in the face of complexity. CogSci 2018 - 2017
- [c21]Neil Bramley, Ralf Mayrhofer, Tobias Gerstenberg, David A. Lagnado:
Causal learning from interventions and dynamics in continuous time. CogSci 2017 - [c20]Lara Kirfel, David A. Lagnado:
"Oops, I did it again." The impact of frequent behaviour on causal judgement. CogSci 2017 - [c19]Norman E. Fenton, David A. Lagnado, Christian Dahlman, Martin Neil:
The opportunity prior: a simple and practical solution to the prior probability problem for legal cases. ICAIL 2017: 69-76 - 2016
- [j6]Norman E. Fenton, Martin Neil, David A. Lagnado, William Marsh, Barbaros Yet, Anthony C. Constantinou:
How to model mutually exclusive events based on independent causal pathways in Bayesian network models. Knowl. Based Syst. 113: 39-50 (2016) - [c18]Saoirse Connor Desai, Stian Reimers, David A. Lagnado:
Consistency and credibility in legal reasoning: A Bayesian network approach. CogSci 2016 - [c17]Jens Koed Madsen, Saoirse Connor Desai, Adam J. L. Harris, David A. Lagnado:
Can a Bayes' Net approach capture intuitive use of sequential testimonies in a legal reasoning paradigm? CogSci 2016 - [i1]Neil R. Bramley, Peter Dayan, Thomas L. Griffiths, David A. Lagnado:
Formalizing Neurath's Ship: Approximate Algorithms for Online Causal Learning. CoRR abs/1609.04212 (2016) - 2015
- [c16]Neil Bramley, Peter Dayan, David A. Lagnado:
Staying afloat on Neurath's boat - Heuristics for sequential causal learning. CogSci 2015 - [c15]Saoirse Connor Desai, David A. Lagnado:
That's not the whole story: The role of reliability and credibility in evidential reasoning. CogSci 2015 - [c14]Tobias Gerstenberg, Noah D. Goodman, David A. Lagnado, Joshua B. Tenenbaum:
How, whether, why: Causal judgments as counterfactual contrasts. CogSci 2015 - [c13]Hana Chockler, Norman E. Fenton, Jeroen Keppens, David A. Lagnado:
Causal analysis for attributing responsibility in legal cases. ICAIL 2015: 33-42 - 2014
- [c12]Neil Bramley, Tobias Gerstenberg, David A. Lagnado:
The order of things: Inferring causal structure from temporal patterns. CogSci 2014 - [c11]Tobias Gerstenberg, Noah D. Goodman, David A. Lagnado, Joshua B. Tenenbaum:
From counterfactual simulation to causal judgment. CogSci 2014 - [c10]Tobias Gerstenberg, Tomer D. Ullman, Max Kleiman-Weiner, David A. Lagnado, Joshua B. Tenenbaum:
Wins above replacement: Responsibility attributions as counterfactual replacements. CogSci 2014 - [c9]Jonathan F. Kominsky, Jonathan Phillips, Tobias Gerstenberg, David A. Lagnado, Joshua Knobe:
Causal Supersession. CogSci 2014 - 2013
- [j5]David A. Lagnado, Norman E. Fenton, Martin Neil:
Legal idioms: a framework for evidential reasoning. Argument Comput. 4(1): 46-63 (2013) - [j4]Norman E. Fenton, Martin Neil, David A. Lagnado:
A General Structure for Legal Arguments About Evidence Using Bayesian Networks. Cogn. Sci. 37(1): 61-102 (2013) - [j3]David A. Lagnado, Tobias Gerstenberg, Ro'i Zultan:
Causal Responsibility and Counterfactuals. Cogn. Sci. 37(6): 1036-1073 (2013) - [c8]Neil Bramley, David A. Lagnado, Maarten Speekenbrink:
Mechanisms of Active Causal Learning. CogSci 2013 - [c7]Marc J. Buehner, David A. Lagnado, Christos Bechlivanidis, Marc O. Ernst, Marieke Rohde, Michael Young:
Time and Causality: Mutual Constraints; Insights from Event and Time Perception, Motor Control, and Gaming. CogSci 2013 - [c6]Tobias Gerstenberg, Christos Bechlivanidis, David A. Lagnado:
Back on track: Backtracking in counterfactual reasoning. CogSci 2013 - 2012
- [j2]Caren A. Frosch, Teresa McCormack, David A. Lagnado, Patrick Burns:
Are Causal Structure and Intervention Judgments Inextricably Linked? A Developmental Study. Cogn. Sci. 36(2): 261-285 (2012) - [c5]Peter W. Battaglia, Tomer D. Ullman, Joshua B. Tenenbaum, Adam Sanborn, Kenneth D. Forbus, Tobias Gerstenberg, David A. Lagnado:
Computational Models of Intuitive Physics. CogSci 2012 - [c4]Tobias Gerstenberg, Noah D. Goodman, David A. Lagnado, Joshua B. Tenenbaum:
Noisy Newtons: Unifying process and dependency accounts of causal attribution. CogSci 2012 - 2011
- [c3]Tobias Gerstenberg, Anastasia Ejova, David A. Lagnado:
Blame the Skilled. CogSci 2011 - [c2]Tobias Gerstenberg, David A. Lagnado, Maarten Speekenbrink, Catherine Cheung:
Rational Order Effects in Responsibility Attributions. CogSci 2011 - [c1]Simeon Schaechtele, Tobias Gerstenberg, David A. Lagnado:
Beyond Outcomes: The Influence of Intentions and Deception. CogSci 2011
2000 – 2009
- 2005
- [j1]Steven A. Sloman, David A. Lagnado:
Do We "do"? Cogn. Sci. 29(1): 5-39 (2005)
Coauthor Index
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