David A. Lagnado

81 papers B 55C 5Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Human Attribution of Causality to AI Across Agency, Misuse, and Misalignment. CoRR María Victoria Carro, David A. Lagnado
2025	B	`conf`	Causal and Counterfactual Reasoning about Gradual and Abrupt Events. CogSci Vanessa Cheung, Cristina Leone, Samantha Kleinberg, David A. Lagnado
2025	B	`conf`	Cause and Blame Attribution to AI and Human Agents in Mental Health Context. CogSci Mengxuan Helen Qiao, Sonja Belkin, David A. Lagnado
2025	B	`conf`	Cognitive coherence and resource rationality: rethinking resistance to belief change. CogSci Trisevgeni Papakonstantinou, David A. Lagnado
2025	J	`jnl`	Explainable AI: definition and attributes of a good explanation for health AI. AI Ethics Evangelia Kyrimi, Scott McLachlan, Jared M. Wohlgemut, Zane B. Perkins, David A. Lagnado, William Marsh, Alexander Gimson, Ali Shafti, Ari Ercole, Amitava Banerjee, Ben Glocker, Burkhard Schafer, Constantine Gatsonis, Crina Grosan, Danielle Sent, David S. Berman, David Glass, Declan P. O'Regan, Dimitrios Letsios, Dylan Morrissey, Erhan Pisirir, Francesco Leofante, Hamit Soyel, Jon Williamson, Keri Grieman, Kudakwashe Dube, Max Marsden, Myura Nagendran, Nigel Tai, Olga Kostopoulou, Owain Jones, Paul Curzon, Rebecca S. Stoner, Sankalp Tandle, Shalmali Joshi, Somayyeh Mossadegh, Stefan Buijsman, Tim Miller, Vince Istvan Madai
2025	B	`conf`	Exploring Causal and Compositional Reasoning in Large Language Models. CogSci Magnus F. Gjerde, Vanessa Cheung, David A. Lagnado
2025	J	`jnl`	Reasoning about Affordances: Causal and Compositional Reasoning in LLMs. CoRR Magnus F. Gjerde, Vanessa Cheung, David A. Lagnado
2025	B	`conf`	Speak Last and Step-by-Step: The Effect of Order and Response Mode on Evidence Evaluation. CogSci Mengxuan Helen Qiao, David A. Lagnado
2025	B	`conf`	Taking others for granted: balancing personal and presentational goals in action selection. CogSci Victor Btesh, David A. Lagnado, Tobias Gerstenberg
2025	B	`conf`	The Role of Worldview Congruence in Misinformation Correction: A Bayesian Approach to Belief Updating. CogSci Greta Arancia Sanna, Toby D. Pilditch, David A. Lagnado
2024	B	`conf`	Are autonomous vehicles blamed differently? CogSci Darko Stojilovic, Matija Franklin, Bertram F. Malle, Carlos Fernandez-Basso, Edmond Awad, David A. Lagnado
2024	B	`conf`	Attribution of Responsibility Between Agents in a Causal Chain of Events. CogSci Vanessa Cheung, Mengxuan Helen Qiao, David A. Lagnado
2024	B	`conf`	Belief updating patterns and social learning in stable and dynamic environments. CogSci Trisevgeni Papakonstantinou, Nichola J. Raihani, David A. Lagnado
2024	J	`jnl`	Explainable AI: Definition and attributes of a good explanation for health AI. CoRR Evangelia Kyrimi, Scott McLachlan, Jared M. Wohlgemut, Zane B. Perkins, David A. Lagnado, William Marsh, ExAIDSS Expert Group
2024	B	`conf`	Humans generate auxiliary hypotheses to resolve conflicts in observational data. CogSci Trisevgeni Papakonstantinou, Kuan Iao Leong, David A. Lagnado
2024	B	`conf`	Reasoning about (In)Dependent Evidence: A Mismatch between Perceiving and Incorporating Dependencies? CogSci Laura Elaine Strittmatter, Toby D. Pilditch, David A. Lagnado
2024	B	`conf`	Second Order Uncertainty and Prospect Theory. CogSci Stephen H. Dewitt, Michelle Lam, Andy Shi, Borys Tam, Samuel Henri Dupret, Toby D. Pilditch, David A. Lagnado
2024	B	`conf`	The Attraction of Anticipation: How Causal Interactions Draw People's Attention in Visual Tasks. CogSci Tianshu Chen, Christos Bechlivanidis, Henrik Singmann, David A. Lagnado
2023	C	`conf`	An Unsupervised Approach to Extracting Knowledge from the Relationships Between Blame Attribution on Twitter. FQAS Matija Franklin, Trisevgeni Papakonstantinou, Tianshu Chen, Carlos Fernandez-Basso, David A. Lagnado
2023	B	`conf`	Blame attribution in human-AI and human-only systems: Crowdsourcing judgments from Twitter. CogSci Matija Franklin, Trisevgeni Papakonstantinou, Tianshu Chen, Carlos Fernandez-Basso, David A. Lagnado
2023	J	`jnl`	Categorical Updating in a Bayesian Propensity Problem. Cogn. Sci. Stephen H. Dewitt, Nine Adler, Carmen Li, Ekaterina Stoilova, Norman E. Fenton, David A. Lagnado
2023	B	`conf`	Defendant character influences mock juror judgments of blame, guilt, and punishment. CogSci Vanessa Cheung, David A. Lagnado
2023	B	`conf`	Do people prefer prediction over accommodation? An empirical study. CogSci Laura Elaine Strittmatter, Stephen H. Dewitt, David A. Lagnado
2023	—	`conf`	Enhancing Wearable Technologies for Dementia Care: A Cognitive Architecture Approach. EXTRAAMAS Matija Franklin, David A. Lagnado, Chulhong Min, Akhil Mathur, Fahim Kawsar
2023	B	`conf`	Expectation of temporal delays shapes Judgement of Causal Strength and Causal Structure. CogSci Ziyi Guo, Christos Bechlivanidis, David A. Lagnado
2023	B	`conf`	How does knowledge of detainment affect juror reasoning? CogSci Stephen H. Dewitt, Sammy Glatzel, David A. Lagnado
2023	B	`conf`	Swipe and hold: composing interventions in continuous time causal learning. CogSci Victor Btesh, David A. Lagnado, Maarten Speekenbrink, Neil R. Bramley
2023	C	`conf`	Who Is to Blame? Responsibility Attribution in AI Systems vs Human Agents in the Field of Air Crashes. FQAS Jesica Gómez-Sánchez, Cristina Gordo, Matija Franklin, Carlos Fernandez-Basso, David A. Lagnado
2022	C	`conf`	Causal Framework of Artificial Autonomous Agent Responsibility. AIES Matija Franklin, Hal Ashton, Edmond Awad, David A. Lagnado
2022	B	`conf`	Explanations that backfire: Explainable artificial intelligence can cause information overload. CogSci Aidah Nakakande Ferguson, Matija Franklin, David A. Lagnado
2022	B	`conf`	Exploring the Richness of Human Causal Reasoning with Think Aloud Data. CogSci Stephen H. Dewitt, Ekaterina Stoilova, David A. Lagnado
2022	—	`conf`	Human-AI Interaction Paradigm for Evaluating Explainable Artificial Intelligence. HCI (37) Matija Franklin, David A. Lagnado
2021	J	`jnl`	Argumentative explanations for interactive recommendations. Artif. Intell. Antonio Rago, Oana Cocarascu, Christos Bechlivanidis, David A. Lagnado, Francesca Toni
2021	B	`conf`	Categorical Belief Updating Under Uncertainty. CogSci Stephen H. Dewitt, Carmen Li, Daniel Koh, Norman E. Fenton, David A. Lagnado
2021	B	`conf`	Causation by Ignorance. CogSci Lara Kirfel, David A. Lagnado
2021	—	`conf`	Designing Memory Aids for Dementia Patients using Earables. UbiComp/ISWC Adjunct Matija Franklin, David A. Lagnado, Chulhong Min, Akhil Mathur, Fahim Kawsar
2021	B	`conf`	The role of causal models in evaluating simple and complex legal explanations. CogSci Alice Liefgreen, David A. Lagnado
2020	J	`jnl`	Analyzing the Simonshaven Case Using Bayesian Networks. Top. Cogn. Sci. Norman E. Fenton, Martin Neil, Barbaros Yet, David A. Lagnado
2020	J	`jnl`	BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning. CoRR 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
2020	B	`conf`	I don't know if you did it, but I know why: A 'motive' preference at multiple stages of the legal-investigative process. CogSci Alice Liefgreen, Sami R. Yousif, Frank Keil, David A. Lagnado
2020	J	`jnl`	Temporal Binding, Causation, and Agency: Developing a New Theoretical Framework. Cogn. Sci. Christoph Hoerl, Sara Lorimer, Teresa McCormack, David A. Lagnado, Emma Blakey, Emma Tecwyn, Marc J. Buehner
2019	B	`conf`	Deception in evidential reasoning: Willful deceit or honest mistake? CogSci Toby D. Pilditch, Alexander Fries, David A. Lagnado
2019	B	`conf`	I know what you did last summer (and how often). Epistemic states and statistical normality in causal judgements. CogSci Lara Kirfel, David A. Lagnado
2019	J	`jnl`	Modelling competing legal arguments using Bayesian model comparison and averaging. Artif. Intell. Law Martin Neil, Norman E. Fenton, David A. Lagnado, Richard David Gill
2019	B	`conf`	Nested Sets and Natural Frequencies. CogSci Stephen H. Dewitt, Anne Hsu, David A. Lagnado, Saoirse Connor Desai, Norman E. Fenton
2019	B	`conf`	Selecting and evaluating evidence: The garden of forking information paths. CogSci Alice Liefgreen, Toby D. Pilditch, David A. Lagnado
2019	B	`conf`	Shared Evidence: It all depends... CogSci Toby D. Pilditch, Ulrike Hahn, David A. Lagnado
2019	B	`conf`	Zero-sum reasoning in information selection. CogSci Toby D. Pilditch, Alice Liefgreen, David A. Lagnado
2018	B	`conf`	Explaining away: significance of priors, diagnostic reasoning and structural complexity. CogSci Alice Liefgreen, Marko Tesic, David A. Lagnado
2018	B	`conf`	Integrating dependent evidence: naïve reasoning in the face of complexity. CogSci Toby D. Pilditch, Ulrike Hahn, David A. Lagnado
2018	J	`jnl`	Ranking the Impact of Different Tests on a Hypothesis in a Bayesian Network. Entropy Leila Schneps, Richard E. Overill, David A. Lagnado
2018	B	`conf`	Statistical norm effects in causal cognition. CogSci Lara Kirfel, David A. Lagnado
2018	B	`conf`	Updating Prior Beliefs Based on Ambiguous Evidence. CogSci Stephen H. Dewitt, David A. Lagnado, Norman E. Fenton
2017	B	`conf`	"Oops, I did it again." The impact of frequent behaviour on causal judgement. CogSci Lara Kirfel, David A. Lagnado
2017	B	`conf`	Causal learning from interventions and dynamics in continuous time. CogSci Neil Bramley, Ralf Mayrhofer, Tobias Gerstenberg, David A. Lagnado
2017	C	`conf`	The opportunity prior: a simple and practical solution to the prior probability problem for legal cases. ICAIL Norman E. Fenton, David A. Lagnado, Christian Dahlman, Martin Neil
2016	B	`conf`	Can a Bayes' Net approach capture intuitive use of sequential testimonies in a legal reasoning paradigm? CogSci Jens Koed Madsen, Saoirse Connor Desai, Adam J. L. Harris, David A. Lagnado
2016	B	`conf`	Consistency and credibility in legal reasoning: A Bayesian network approach. CogSci Saoirse Connor Desai, Stian Reimers, David A. Lagnado
2016	J	`jnl`	Formalizing Neurath's Ship: Approximate Algorithms for Online Causal Learning. CoRR Neil R. Bramley, Peter Dayan, Thomas L. Griffiths, David A. Lagnado
2016	J	`jnl`	How to model mutually exclusive events based on independent causal pathways in Bayesian network models. Knowl. Based Syst. Norman E. Fenton, Martin Neil, David A. Lagnado, William Marsh, Barbaros Yet, Anthony C. Constantinou
2015	C	`conf`	Causal analysis for attributing responsibility in legal cases. ICAIL Hana Chockler, Norman E. Fenton, Jeroen Keppens, David A. Lagnado
2015	B	`conf`	How, whether, why: Causal judgments as counterfactual contrasts. CogSci Tobias Gerstenberg, Noah D. Goodman, David A. Lagnado, Joshua B. Tenenbaum
2015	B	`conf`	Staying afloat on Neurath's boat - Heuristics for sequential causal learning. CogSci Neil Bramley, Peter Dayan, David A. Lagnado
2015	B	`conf`	That's not the whole story: The role of reliability and credibility in evidential reasoning. CogSci Saoirse Connor Desai, David A. Lagnado
2014	B	`conf`	Causal Supersession. CogSci Jonathan F. Kominsky, Jonathan Phillips, Tobias Gerstenberg, David A. Lagnado, Joshua Knobe
2014	B	`conf`	From counterfactual simulation to causal judgment. CogSci Tobias Gerstenberg, Noah D. Goodman, David A. Lagnado, Joshua B. Tenenbaum
2014	B	`conf`	The order of things: Inferring causal structure from temporal patterns. CogSci Neil Bramley, Tobias Gerstenberg, David A. Lagnado
2014	B	`conf`	Wins above replacement: Responsibility attributions as counterfactual replacements. CogSci Tobias Gerstenberg, Tomer D. Ullman, Max Kleiman-Weiner, David A. Lagnado, Joshua B. Tenenbaum
2013	J	`jnl`	A General Structure for Legal Arguments About Evidence Using Bayesian Networks. Cogn. Sci. Norman E. Fenton, Martin Neil, David A. Lagnado
2013	B	`conf`	Back on track: Backtracking in counterfactual reasoning. CogSci Tobias Gerstenberg, Christos Bechlivanidis, David A. Lagnado
2013	J	`jnl`	Causal Responsibility and Counterfactuals. Cogn. Sci. David A. Lagnado, Tobias Gerstenberg, Ro'i Zultan
2013	J	`jnl`	Legal idioms: a framework for evidential reasoning. Argument Comput. David A. Lagnado, Norman E. Fenton, Martin Neil
2013	B	`conf`	Mechanisms of Active Causal Learning. CogSci Neil Bramley, David A. Lagnado, Maarten Speekenbrink
2013	B	`conf`	Time and Causality: Mutual Constraints; Insights from Event and Time Perception, Motor Control, and Gaming. CogSci Marc J. Buehner, David A. Lagnado, Christos Bechlivanidis, Marc O. Ernst, Marieke Rohde, Michael Young
2012	J	`jnl`	Are Causal Structure and Intervention Judgments Inextricably Linked? A Developmental Study. Cogn. Sci. Caren A. Frosch, Teresa McCormack, David A. Lagnado, Patrick Burns
2012	B	`conf`	Computational Models of Intuitive Physics. CogSci Peter W. Battaglia, Tomer D. Ullman, Joshua B. Tenenbaum, Adam Sanborn, Kenneth D. Forbus, Tobias Gerstenberg, David A. Lagnado
2012	B	`conf`	Noisy Newtons: Unifying process and dependency accounts of causal attribution. CogSci Tobias Gerstenberg, Noah D. Goodman, David A. Lagnado, Joshua B. Tenenbaum
2011	B	`conf`	Beyond Outcomes: The Influence of Intentions and Deception. CogSci Simeon Schaechtele, Tobias Gerstenberg, David A. Lagnado
2011	B	`conf`	Blame the Skilled. CogSci Tobias Gerstenberg, Anastasia Ejova, David A. Lagnado
2011	B	`conf`	Rational Order Effects in Responsibility Attributions. CogSci Tobias Gerstenberg, David A. Lagnado, Maarten Speekenbrink, Catherine Cheung
2005	J	`jnl`	Do We "do"? Cogn. Sci. Steven A. Sloman, David A. Lagnado