David A. Lagnado

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 42

Top Topics

Bayesian Networks

Causal Structure

Artificial Intelligence

Top Venues

Publications

Ziyi Guo, Christos Bechlivanidis, David A. Lagnado
Expectation of temporal delays shapes Judgement of Causal Strength and Causal Structure. CogSci (2023)
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)
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)
Victor Btesh, David A. Lagnado, Maarten Speekenbrink, Neil R. Bramley
Swipe and hold: composing interventions in continuous time causal learning. CogSci (2023)
Laura Elaine Strittmatter, Stephen H. Dewitt, David A. Lagnado
Do people prefer prediction over accommodation? An empirical study. CogSci (2023)
Vanessa Cheung, David A. Lagnado
Defendant character influences mock juror judgments of blame, guilt, and punishment. CogSci (2023)
Matija Franklin, David A. Lagnado, Chulhong Min, Akhil Mathur, Fahim Kawsar
Enhancing Wearable Technologies for Dementia Care: A Cognitive Architecture Approach. EXTRAAMAS (2023)
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)
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)
Stephen H. Dewitt, Sammy Glatzel, David A. Lagnado
How does knowledge of detainment affect juror reasoning? CogSci (2023)
Aidah Nakakande Ferguson, Matija Franklin, David A. Lagnado
Explanations that backfire: Explainable artificial intelligence can cause information overload. CogSci (2022)
Stephen H. Dewitt, Ekaterina Stoilova, David A. Lagnado
Exploring the Richness of Human Causal Reasoning with Think Aloud Data. CogSci (2022)
Matija Franklin, David A. Lagnado
Human-AI Interaction Paradigm for Evaluating Explainable Artificial Intelligence. HCI (37) (2022)
Matija Franklin, Hal Ashton, Edmond Awad, David A. Lagnado
Causal Framework of Artificial Autonomous Agent Responsibility. AIES (2022)
Antonio Rago, Oana Cocarascu, Christos Bechlivanidis, David A. Lagnado, Francesca Toni
Argumentative explanations for interactive recommendations. Artif. Intell. 296 (2021)
Alice Liefgreen, David A. Lagnado
The role of causal models in evaluating simple and complex legal explanations. CogSci (2021)
Stephen H. Dewitt, Carmen Li, Daniel Koh, Norman E. Fenton, David A. Lagnado
Categorical Belief Updating Under Uncertainty. CogSci (2021)
Matija Franklin, David A. Lagnado, Chulhong Min, Akhil Mathur, Fahim Kawsar
Designing Memory Aids for Dementia Patients using Earables. UbiComp/ISWC Adjunct (2021)
Lara Kirfel, David A. Lagnado
Causation by Ignorance. CogSci (2021)
Norman E. Fenton, Martin Neil, Barbaros Yet, David A. Lagnado
Analyzing the Simonshaven Case Using Bayesian Networks. Top. Cogn. Sci. 12 (4) (2020)
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 (2020)
Alice Liefgreen, Sami 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)
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)
Stephen Dewitt, Anne Hsu, David A. Lagnado, Saoirse Connor Desai, Norman E. Fenton
Nested Sets and Natural Frequencies. CogSci (2019)
Toby D. Pilditch, Alice Liefgreen, David A. Lagnado
Zero-sum reasoning in information selection. CogSci (2019)
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)
Alice Liefgreen, Toby D. Pilditch, David A. Lagnado
Selecting and evaluating evidence: The garden of forking information paths. CogSci (2019)
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) (2019)
Toby D. Pilditch, Alexander Fries, David A. Lagnado
Deception in evidential reasoning: Willful deceit or honest mistake? CogSci (2019)
Toby D. Pilditch, Ulrike Hahn, David A. Lagnado
Shared Evidence: It all depends... CogSci (2019)
Toby D. Pilditch, Ulrike Hahn, David A. Lagnado
Integrating dependent evidence: naïve reasoning in the face of complexity. CogSci (2018)
Lara Kirfel, David A. Lagnado
Statistical norm effects in causal cognition. CogSci (2018)
Leila Schneps, Richard E. Overill, David A. Lagnado
Ranking the Impact of Different Tests on a Hypothesis in a Bayesian Network. Entropy 20 (11) (2018)
Alice Liefgreen, Marko Tesic, David A. Lagnado
Explaining away: significance of priors, diagnostic reasoning and structural complexity. CogSci (2018)
Stephen Dewitt, David A. Lagnado, Norman E. Fenton
Updating Prior Beliefs Based on Ambiguous Evidence. CogSci (2018)
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)
Lara Kirfel, David A. Lagnado
"Oops, I did it again." The impact of frequent behaviour on causal judgement. CogSci (2017)
Neil Bramley, Ralf Mayrhofer, Tobias Gerstenberg, David A. Lagnado
Causal learning from interventions and dynamics in continuous time. CogSci (2017)
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)
Neil R. Bramley, Peter Dayan, Thomas L. Griffiths, David A. Lagnado
Formalizing Neurath's Ship: Approximate Algorithms for Online Causal Learning. CoRR (2016)
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 (2016)
Saoirse Connor Desai, Stian Reimers, David A. Lagnado
Consistency and credibility in legal reasoning: A Bayesian network approach. CogSci (2016)
Hana Chockler, Norman E. Fenton, Jeroen Keppens, David A. Lagnado
Causal analysis for attributing responsibility in legal cases. ICAIL (2015)
Saoirse Connor Desai, David A. Lagnado
That's not the whole story: The role of reliability and credibility in evidential reasoning. CogSci (2015)
Neil Bramley, Peter Dayan, David A. Lagnado
Staying afloat on Neurath's boat - Heuristics for sequential causal learning. CogSci (2015)
Tobias Gerstenberg, Noah D. Goodman, David A. Lagnado, Joshua B. Tenenbaum
How, whether, why: Causal judgments as counterfactual contrasts. CogSci (2015)
Neil Bramley, Tobias Gerstenberg, David A. Lagnado
The order of things: Inferring causal structure from temporal patterns. CogSci (2014)
Tobias Gerstenberg, Noah D. Goodman, David A. Lagnado, Joshua B. Tenenbaum
From counterfactual simulation to causal judgment. CogSci (2014)
Jonathan F. Kominsky, Jonathan Phillips, Tobias Gerstenberg, David A. Lagnado, Joshua Knobe
Causal Supersession. CogSci (2014)
Tobias Gerstenberg, Tomer Ullman, Max Kleiman-Weiner, David A. Lagnado, Joshua B. Tenenbaum
Wins above replacement: Responsibility attributions as counterfactual replacements. CogSci (2014)
Norman E. Fenton, Martin Neil, David A. Lagnado
A General Structure for Legal Arguments About Evidence Using Bayesian Networks. Cogn. Sci. 37 (1) (2013)
David A. Lagnado, Norman E. Fenton, Martin Neil
Legal idioms: a framework for evidential reasoning. Argument Comput. 4 (1) (2013)
Tobias Gerstenberg, Christos Bechlivanidis, David A. Lagnado
Back on track: Backtracking in counterfactual reasoning. CogSci (2013)
David A. Lagnado, Tobias Gerstenberg, Ro'i Zultan
Causal Responsibility and Counterfactuals. Cogn. Sci. 37 (6) (2013)
Neil Bramley, David A. Lagnado, Maarten Speekenbrink
Mechanisms of Active Causal Learning. CogSci (2013)
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)
Peter W. Battaglia, Tomer Ullman, Joshua B. Tenenbaum, Adam Sanborn, Kenneth D. Forbus, Tobias Gerstenberg, David A. Lagnado
Computational Models of Intuitive Physics. CogSci (2012)
Tobias Gerstenberg, Noah D. Goodman, David A. Lagnado, Joshua B. Tenenbaum
Noisy Newtons: Unifying process and dependency accounts of causal attribution. CogSci (2012)
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) (2012)
Tobias Gerstenberg, Anastasia Ejova, David A. Lagnado
Blame the Skilled. CogSci (2011)
Simeon Schaechtele, Tobias Gerstenberg, David A. Lagnado
Beyond Outcomes: The Influence of Intentions and Deception. CogSci (2011)
Tobias Gerstenberg, David A. Lagnado, Maarten Speekenbrink, Catherine Cheung
Rational Order Effects in Responsibility Attributions. CogSci (2011)
Steven A. Sloman, David A. Lagnado
Do We "do"? Cogn. Sci. 29 (1) (2005)