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Michael R. Waldmann

Michael R. Waldmann

D-Index & Metrics

Psychology

D-Index
40
Citations
6832
World Ranking
8242
National Ranking
383

Overview

Michael R. Waldmann is affiliated with the University of Göttingen in Germany. Their research primarily focuses on the field of psychology, with particular involvement in various subfields including artificial intelligence, developmental and educational psychology, cognitive neuroscience, social psychology, and sociology and political science.

The main areas of study covered in their work include:

  • Psychology of Moral and Emotional Judgment
  • Child and Animal Learning Development
  • Bayesian Modeling and Causal Inference
  • Social and Intergroup Psychology
  • Emotions and Moral Behavior
  • Logic, Reasoning, and Knowledge
  • Traffic Control and Management

Waldmann's publication record includes papers in prominent venues such as:

  • Cognition
  • Cognitive Science
  • Annals of the American Thoracic Society
  • 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)
  • Journal of Experimental Psychology General

Notable recent papers authored by Waldmann and collaborators include:

  • "Time and Singular Causation-A Computational Model" (2020), published in Cognitive Science
  • "Secondary Bacterial Pneumonias and Bloodstream Infections in Patients Hospitalized with COVID-19" (2021), published in Annals of the American Thoracic Society
  • "Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control" (2021), presented at the 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)
  • "How causal structure, causal strength, and foreseeability affect moral judgments" (2022), published in Cognition
  • "How to weigh lives. A computational model of moral judgment in multiple-outcome structures" (2021), published in Cognition

The scientist frequently collaborates with several researchers, including:

  • Simon Stephan
  • Neele Engelmann
  • Ronja Demel
  • Annekathrin Schacht
  • Max W. Adelman

Best Publications

  • Predictive and diagnostic learning within causal models: Asymmetries in cue competition.

    Michael R. Waldmann;Keith J. Holyoak

  • Causal reasoning in rats.

    Aaron P. Blaisdell;Aaron P. Blaisdell;Aaron P. Blaisdell;Kosuke Sawa;Kosuke Sawa;Kosuke Sawa;Kenneth J. Leising;Kenneth J. Leising;Kenneth J. Leising;Michael R. Waldmann;Michael R. Waldmann;Michael R. Waldmann

  • Competition among causes but not effects in predictive and diagnostic learning.

    Michael R. Waldmann

  • Throwing a Bomb on a Person Versus Throwing a Person on a Bomb Intervention Myopia in Moral Intuitions

    Michael R. Waldmann;Jörn H. Dieterich

  • Causal models and the acquisition of category structure

    Michael R. Waldmann;Keith J. Holyoak;Angela Fratianne

  • Seeing versus doing: two modes of accessing causal knowledge.

    Michael R. Waldmann;York Hagmayer

  • Beyond covariation: Cues to causal structure.

    DA Lagnado;Waldmann;Y Hagmaye;SA Sloman

  • KNOWLEDGE-BASED CAUSAL INDUCTION

    Michael R. Waldmann

  • Predictive versus diagnostic causal learning: evidence from an overshadowing paradigm.

    Michael R. Waldmann

  • Causal reasoning through intervention.

    York Hagmayer;Steven A. Sloman;David A. Lagnado;Michael R. Waldmann

  • Estimating causal strength: the role of structural knowledge and processing effort

    Michael R Waldmann;York Hagmayer

  • Beyond the Information Given Causal Models in Learning and Reasoning

    Michael R. Waldmann;York Hagmayer;Aaron P. Blaisdell

  • How temporal assumptions influence causal judgments.

    York Hagmayer;Michael R. Waldmann

  • Bayesian network models of causal learning

    Michael R. Waldmann;Laura Martignon

  • Intelligenz und Denken : Perspektiven der Hochbegabungsforschung

    Michael Waldmann;Franz E. Weinert

  • Structure induction in diagnostic causal reasoning.

    Björn Meder;Ralf Mayrhofer;Michael R. Waldmann

  • Causal learning in rats and humans: A minimal rational model

    Michael R. Waldmann;Patricia W. Cheng;York Hagmayer;Aaron P. Blaisdell

  • Accessing causal relations in semantic memory

    Daniela B. Fenker;Michael R. Waldmann;Keith J. Holyoak

  • An fMRI study of causal judgments

    Ajay B. Satpute;Daniela B. Fenker;Daniela B. Fenker;Michael R. Waldmann;Golnaz Tabibnia

  • Competence and performance in causal learning.

    Michael R. Waldmann;Jessica M. Walker

  • Combining Versus Analyzing Multiple Causes: How Domain Assumptions and Task Context Affect Integration Rules

    Michael R. Waldmann

  • The Special Status of Actions in Causal Reasoning in Rats

    Kenneth J. Leising;Jared Wong;Michael R. Waldmann;Aaron P. Blaisdell

  • Lying despite telling the truth

    Alex Wiegmann;Jana Samland;Michael R. Waldmann

Frequent Co-Authors

Keith J. Holyoak
Keith J. Holyoak University of California, Los Angeles
Hannes Rakoczy
Hannes Rakoczy University of Göttingen
Joachim I. Krueger
Joachim I. Krueger Brown University
Ulrike Hahn
Ulrike Hahn Birkbeck, University of London
Stephan Lewandowsky
Stephan Lewandowsky University of Bristol
Alexander Renkl
Alexander Renkl University of Freiburg
Baruch Fischhoff
Baruch Fischhoff Carnegie Mellon University
Irwin P. Levin
Irwin P. Levin University of Iowa
David A. Lagnado
David A. Lagnado University College London
Matthew D. Lieberman
Matthew D. Lieberman University of California, Los Angeles

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