David A. Lagnado

Orcid: 0000-0002-6845-8830

Affiliations:
  • University College London, UK


According to our database1, David A. Lagnado authored at least 64 papers between 2005 and 2024.

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Bibliography

2024
Explainable AI: Definition and attributes of a good explanation for health AI.
CoRR, 2024

2023
Categorical Updating in a Bayesian Propensity Problem.
Cogn. Sci., July, 2023

Who Is to Blame? Responsibility Attribution in AI Systems vs Human Agents in the Field of Air Crashes.
Proceedings of the Flexible Query Answering Systems - 15th International Conference, 2023

An Unsupervised Approach to Extracting Knowledge from the Relationships Between Blame Attribution on Twitter.
Proceedings of the Flexible Query Answering Systems - 15th International Conference, 2023

Enhancing Wearable Technologies for Dementia Care: A Cognitive Architecture Approach.
Proceedings of the Explainable and Transparent AI and Multi-Agent Systems, 2023

Do people prefer prediction over accommodation? An empirical study.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Expectation of temporal delays shapes Judgement of Causal Strength and Causal Structure.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Blame attribution in human-AI and human-only systems: Crowdsourcing judgments from Twitter.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

How does knowledge of detainment affect juror reasoning?
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Defendant character influences mock juror judgments of blame, guilt, and punishment.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Swipe and hold: composing interventions in continuous time causal learning.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022
Human-AI Interaction Paradigm for Evaluating Explainable Artificial Intelligence.
Proceedings of the HCI International 2022 Posters, 2022

Explanations that backfire: Explainable artificial intelligence can cause information overload.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Exploring the Richness of Human Causal Reasoning with Think Aloud Data.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Causal Framework of Artificial Autonomous Agent Responsibility.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021
Argumentative explanations for interactive recommendations.
Artif. Intell., 2021

Designing Memory Aids for Dementia Patients using Earables.
Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021

The role of causal models in evaluating simple and complex legal explanations.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Causation by Ignorance.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Categorical Belief Updating Under Uncertainty.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020
Analyzing the Simonshaven Case Using Bayesian Networks.
Top. Cogn. Sci., 2020

BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning.
CoRR, 2020

Temporal Binding, Causation, and Agency: Developing a New Theoretical Framework.
Cogn. Sci., 2020

I don't know if you did it, but I know why: A 'motive' preference at multiple stages of the legal-investigative process.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019
Modelling competing legal arguments using Bayesian model comparison and averaging.
Artif. Intell. Law, 2019

Zero-sum reasoning in information selection.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Shared Evidence: It all depends...
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Deception in evidential reasoning: Willful deceit or honest mistake?
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Selecting and evaluating evidence: The garden of forking information paths.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

I know what you did last summer (and how often). Epistemic states and statistical normality in causal judgements.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Nested Sets and Natural Frequencies.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018
Ranking the Impact of Different Tests on a Hypothesis in a Bayesian Network.
Entropy, 2018

Integrating dependent evidence: naïve reasoning in the face of complexity.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Explaining away: significance of priors, diagnostic reasoning and structural complexity.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Statistical norm effects in causal cognition.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Updating Prior Beliefs Based on Ambiguous Evidence.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017
The opportunity prior: a simple and practical solution to the prior probability problem for legal cases.
Proceedings of the 16th edition of the International Conference on Artificial Intelligence and Law, 2017

"Oops, I did it again." The impact of frequent behaviour on causal judgement.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Causal learning from interventions and dynamics in continuous time.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016
How to model mutually exclusive events based on independent causal pathways in Bayesian network models.
Knowl. Based Syst., 2016

Formalizing Neurath's Ship: Approximate Algorithms for Online Causal Learning.
CoRR, 2016

Can a Bayes' Net approach capture intuitive use of sequential testimonies in a legal reasoning paradigm?
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Consistency and credibility in legal reasoning: A Bayesian network approach.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015
Causal analysis for attributing responsibility in legal cases.
Proceedings of the 15th International Conference on Artificial Intelligence and Law, 2015

How, whether, why: Causal judgments as counterfactual contrasts.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

That's not the whole story: The role of reliability and credibility in evidential reasoning.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Staying afloat on Neurath's boat - Heuristics for sequential causal learning.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014
Causal Supersession.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Wins above replacement: Responsibility attributions as counterfactual replacements.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

From counterfactual simulation to causal judgment.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

The order of things: Inferring causal structure from temporal patterns.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013
Causal Responsibility and Counterfactuals.
Cogn. Sci., 2013

A General Structure for Legal Arguments About Evidence Using Bayesian Networks.
Cogn. Sci., 2013

Legal idioms: a framework for evidential reasoning.
Argument Comput., 2013

Back on track: Backtracking in counterfactual reasoning.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Time and Causality: Mutual Constraints; Insights from Event and Time Perception, Motor Control, and Gaming.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Mechanisms of Active Causal Learning.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012
Are Causal Structure and Intervention Judgments Inextricably Linked? A Developmental Study.
Cogn. Sci., 2012

Noisy Newtons: Unifying process and dependency accounts of causal attribution.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Computational Models of Intuitive Physics.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011
Beyond Outcomes: The Influence of Intentions and Deception.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Rational Order Effects in Responsibility Attributions.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Blame the Skilled.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2005
Do We "do"?
Cogn. Sci., 2005


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