David Lagnado

David Lagnado

University College London

H-index: 43

Europe-United Kingdom

About David Lagnado

David Lagnado, With an exceptional h-index of 43 and a recent h-index of 32 (since 2020), a distinguished researcher at University College London,

His recent articles reflect a diverse array of research interests and contributions to the field:

Blame attribution in human-AI and human-only systems: Crowdsourcing judgments from Twitter

Variational inference for continuous time causal learning

Unpredictable robots elicit responsibility attributions.

Not so simple! Causal mechanisms increase preference for complex explanations

Expectation of temporal delays shapes Judgement of Causal Strength and Causal Structure

Enhancing Wearable Technologies for Dementia Care: A Cognitive Architecture Approach

An Unsupervised Approach to Extracting Knowledge from the Relationships Between Blame Attribution on Twitter

Less is more: Adaptive strategies in continuous time causal learning

David Lagnado Information

University

Position

___

Citations(all)

7597

Citations(since 2020)

3909

Cited By

5294

hIndex(all)

43

hIndex(since 2020)

32

i10Index(all)

107

i10Index(since 2020)

88

Email

University Profile Page

University College London

Google Scholar

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Top articles of David Lagnado

Title

Journal

Author(s)

Publication Date

Blame attribution in human-AI and human-only systems: Crowdsourcing judgments from Twitter

Proceedings of the Annual Meeting of the Cognitive Science Society

Matija Franklin

Trisevgeni Papakonstantinou

Tianshu Chen

Carlos Fernandez-Basso

David Lagnado

2023

Variational inference for continuous time causal learning

Victor Btesh

Neil R Bramley

Jan-Philipp Fränken

Maarten Speekenbrink

David A Lagnado

2023/5/31

Unpredictable robots elicit responsibility attributions.

Behavioral & Brain Sciences

Matija Franklin

Edmond Awad

Hal Ashton

David Lagnado

2023/1/1

Not so simple! Causal mechanisms increase preference for complex explanations

Cognition

Jeffrey C Zemla

Steven A Sloman

Christos Bechlivanidis

David A Lagnado

2023/10/1

Expectation of temporal delays shapes Judgement of Causal Strength and Causal Structure

Proceedings of the Annual Meeting of the Cognitive Science Society

Ziyi Guo

Christos Bechlivanidis

David Lagnado

2023

Enhancing Wearable Technologies for Dementia Care: A Cognitive Architecture Approach

Matija Franklin

David Lagnado

Chulhong Min

Akhil Mathur

Fahim Kawsar

2023/5/29

An Unsupervised Approach to Extracting Knowledge from the Relationships Between Blame Attribution on Twitter

Matija Franklin

Trisevgeni Papakonstantinou

Tianshu Chen

Carlos Fernandez-Basso

David Lagnado

2023/9/5

Less is more: Adaptive strategies in continuous time causal learning

Victor J Btesh

Neil Bramley

Maarten Speekenbrink

David Lagnado

2023/5/11

Do people prefer prediction over accommodation? An empirical study

Proceedings of the Annual Meeting of the Cognitive Science Society

Laura Elaine Strittmatter

Stephen H Dewitt

David Lagnado

2023

Who Is to Blame? Responsibility Attribution in AI Systems vs Human Agents in the Field of Air Crashes

Jesica Gómez-Sánchez

Cristina Gordo

Matija Franklin

Carlos Fernandez-Basso

David Lagnado

2023/9/5

Drawing conclusions: Representing and evaluating competing explanations

Cognition

Alice Liefgreen

David A Lagnado

2023/5/1

Swipe and hold: composing interventions in continuous time causal learning

Proceedings of the Annual Meeting of the Cognitive Science Society

Victor Btesh

David Lagnado

Maarten Speekenbrink

Neil R Bramley

2023

Making a positive difference: Criticality in groups

Cognition

Tobias Gerstenberg

David A Lagnado

Ro'i Zultan

2023/9/1

How does knowledge of detainment affect juror reasoning?

Proceedings of the Annual Meeting of the Cognitive Science Society

Stephen H Dewitt

Sammy Glatzel

David Lagnado

2023

Categorical Updating in a Bayesian Propensity Problem

Cognitive Science

Stephen H Dewitt

Nine Adler

Carmen Li

Ekaterina Stoilova

Norman E Fenton

...

2023/7

Defendant character influences mock juror judgments of blame, guilt, and punishment

Proceedings of the Annual Meeting of the Cognitive Science Society

Vanessa Cheung

David Lagnado

2023

The Problem of Dependency

Available at SSRN 4712769

Toby Pilditch

Ulrike Hahn

David Lagnado

2023/12/21

Human-AI interaction paradigm for evaluating explainable artificial intelligence

Matija Franklin

David Lagnado

2022/6/16

Evidential Reasoning and Story Building: A Critical Examination of the Story-Model

Droit et societe

Marion Vorms

David Lagnado

2022

BARD: A structured technique for group elicitation of bayesian networks to support analytic reasoning

Risk Analysis

Erik P Nyberg

Ann E Nicholson

Kevin B Korb

Michael Wybrow

Ingrid Zukerman

...

2021/6/19

See List of Professors in David Lagnado University(University College London)

Co-Authors

H-index: 137
Joshua B. Tenenbaum

Joshua B. Tenenbaum

Massachusetts Institute of Technology

H-index: 88
David Shanks

David Shanks

University College London

H-index: 76
Noah D. Goodman

Noah D. Goodman

Stanford University

H-index: 66
Norman Fenton

Norman Fenton

Queen Mary University of London

H-index: 59
Steven Sloman

Steven Sloman

Brown University

H-index: 47
Martin Neil

Martin Neil

Queen Mary University of London

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