Selected and recent publications

2023

  1. Psych Rev
    Counterfactuals and the logic of causal selection
    Quillien, Tadeg, and Lucas, Christopher G
    2023
  2. Causal Social Explanations for Stochastic Sequential Multi-Agent Decision-Making
    Gyevnar, Balint, Wang, Cheng, Lucas, Christopher G, Cohen, Shay B, and Albrecht, Stefano V
    arXiv preprint arXiv:2302.10809 2023
  3. CogSci Proc
    Charting children’s fruit categories with Markov-Chain Monte Carlo with People
    Leon-Villagra, Pablo, Ehrlich, Isaac, Lucas, Christopher G, and Buchsbaum, Daphna
    2023
  4. Designing Optimal Behavioral Experiments Using Machine Learning
    Valentin, Simon, Kleinegesse, Steven, Bramley, Neil R, Seriès, Peggy, Gutmann, Michael U, and Lucas, Christopher G
    arXiv preprint arXiv:2305.07721 2023
  5. CogSci Proc
    Selective imitation on the basis of reward function similarity
    Taylor-Davies, Max, Droop, Stephanie, and Lucas, Christopher G
    arXiv preprint arXiv:2305.07421 2023
  6. CogSci Proc
    Characterizing Shifts in Strategy in Active Function Learning
    Gelpi, Rebekah, Zhou, Caiqin, Lucas, Christopher G, and Buchsbaum, Daphna
    2023
  7. Naı̈ve information aggregation in human social learning
    Fränken, Jan-Philipp, Valentin, Simon, Lucas, Christopher G, and Bramley, Neil
    2023

2022

  1. AAAI
    Bayesian Optimisation for Active Monitoring of Air Pollution
    Hellan, Sigrid Passano, Lucas, Christopher G, and Goddard, Nigel H
    In Proceedings of the AAAI Conference on Artificial Intelligence 2022
  2. Comp Brain & Beh
    Discovering Common Hidden Causes in Sequences of Events
    Valentin, Simon, Bramley, Neil R, and Lucas, Christopher G
    Computational Brain & Behavior 2022
  3. CogSci Proc
    Actively learning to learn causal relationships
    Jiang, Chentian, and Lucas, Christopher G
    arXiv preprint arXiv:2206.09777 2022
  4. Comp Brain & Beh
    How do people generalize causal relations over objects? A non-parametric Bayesian account
    Zhao, Bonan, Lucas, Christopher G, and Bramley, Neil R
    Computational Brain & Behavior 2022
  5. CogSci Proc
    Uncovering variability in children’s concepts and conceptual change
    León-Villagrá, Pablo, Lucas, Christopher G, Buchsbaum, Daphna, and Ehrlich, Isaac
    2022
  6. AAAI
    Bayesian Optimisation for Active Monitoring of Air Pollution
    Hellan, Sigrid Passano, Lucas, Christopher G, and Goddard, Nigel H
    arXiv preprint arXiv:2202.07595 2022
  7. CogSci Proc
    Powering up causal generalization: A model of human conceptual bootstrapping with adaptor grammars
    Zhao, Bonan, Bramley, Neil R, and Lucas, Chris
    In Proceedings of the Annual Meeting of the Cognitive Science Society 2022
  8. CogSci Proc
    The logic of guesses: how people communicate probabilistic information
    Quillien, Tadeg, and Lucas, Chris
    In Proceedings of the Annual Meeting of the Cognitive Science Society 2022
  9. ACL
    Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation
    Dankers, Verna, Lucas, Christopher G, and Titov, Ivan
    arXiv preprint arXiv:2205.15301 2022
  10. CogSci Proc
    Uncovering Childrens’ Category Representations with MCMCP
    Leon Villagra, Pablo, Ehrlich, Isaac, Lucas, Chris, and Buchsbaum, Daphna
    In Proceedings of the Annual Meeting of the Cognitive Science Society 2022
  11. CogSci Proc
    Dissecting causal asymmetries in inductive generalization
    Xia, Zeyu, Zhao, Bonan, Quillien, Tadeg, and Lucas, Chris
    In Proceedings of the Annual Meeting of the Cognitive Science Society 2022

2021

  1. CogSci Proc
    Sampling heuristics for active function learning
    Gelpi, Rebekah, Saxena, Nayan, Lifchits, George, Buchsbaum, Daphna, and Lucas, Christopher G
    2021
  2. CogSci Proc
    Modelling Recognition in Human Puzzle Solving
    Prystawski, Ben, Gelpi, Rebekah, Lucas, Chris, and Buchsbaum, Daphna
    In Proceedings of the Annual Meeting of the Cognitive Science Society 2021
  3. CogSci Proc
    Recovering human category structure across development using sparse judgments
    León-Villagrá, Pablo, Ehrlich, Isaac, Lucas, Christopher G, and Buchsbaum, Daphna
    In Proceedings of the Annual Meeting of the Cognitive Science Society 2021
  4. NeurIPS AI4Sci
    Bayesian Optimal Experimental Design for Simulator Models of Cognition
    Valentin, Simon, Kleinegesse, Steven, Bramley, Neil R, Gutmann, Michael U, and Lucas, Christopher G
    arXiv preprint arXiv:2110.15632 2021
  5. CogSci Proc
    Bayesian Experimental Design for Intractable Models of Cognition
    Valentin, Simon, Kleinegesse, Steven, Bramley, Neil R, Gutmann, Michael, and Lucas, Chris
    In Proceedings of the Annual Meeting of the Cognitive Science Society 2021
  6. CogSci Proc
    Exploring Causal Overhypotheses in Active Learning
    Jiang, Chentian, and Lucas, Chris
    In Proceedings of the Annual Meeting of the Cognitive Science Society 2021
  7. Cognition
    What’s new? A comprehension bias in favor of informativity
    Rohde, Hannah, Futrell, Richard, and Lucas, Christopher G
    Cognition 2021

2020

  1. CogSci Proc
    Incremental hypothesis revision in causal reasoning across development
    Gelpi, Rebekah, Prystawski, Ben, Lucas, Christopher G, and Buchsbaum, Daphna
    2020

2019

  1. CogSci Proc
    Generalizing functions in sparse domains
    León-Villagrá, Pablo, and Lucas, Christopher G
    2019
  2. Child Dev
    Causal learning across culture and socioeconomic status
    Wente, Adrienne O, Kimura, Katherine, Walker, Caren M, Banerjee, Nirajana, Fernández Flecha, Marı́a, MacDonald, Bridget, Lucas, Christopher, and Gopnik, Alison
    Child development 2019

2017

  1. Cognition
    People learn other people’s preferences through inverse decision-making
    Jern, Alan, Lucas, Christopher G, and Kemp, Charles
    Cognition 2017
  2. PNAS
    Changes in cognitive flexibility and hypothesis search across human life history from childhood to adolescence to adulthood
    Gopnik, Alison, O’Grady, Shaun, Lucas, Christopher G, Griffiths, Thomas L, Wente, Adrienne, Bridgers, Sophie, Aboody, Rosie, Fung, Hoki, and Dahl, Ronald E
    Proceedings of the National Academy of Sciences 2017

2015

  1. Psych Rev
    An improved probabilistic account of counterfactual reasoning.
    Lucas, Christopher G, and Kemp, Charles
    Psychological review 2015
  2. NeurIPS
    The human kernel
    Wilson, Andrew G, Dann, Christoph, Lucas, Chris, and Xing, Eric P
    Advances in neural information processing systems 2015
  3. Cog Dev
    Preschoolers’ understanding of graded preferences
    Hu, Jane, Lucas, Christopher G, Griffiths, Thomas L, and Xu, Fei
    Cognitive Development 2015
  4. Psychon Bull Rev
    A Rational Model of Function Learning
    Lucas, Christopher G., Griffiths, Thomas L., Williams, Joseph J., and Kalish, Michael L.
    Psychon Bull Rev 2015

2014

  1. PLOS ONE
    The Child as Econometrician: A Rational Model of Preference Understanding in Children
    Lucas, Christopher G., Griffiths, Thomas L., Xu, Fei, Fawcett, Christine, Gopnik, Alison, Kushnir, Tamar, Markson, Lori, and Hu, Jane
    PLOS ONE 2014
  2. CSJ
    When Children Are Better (or at Least More Open-Minded) Learners than Adults: Developmental Differences in Learning the Forms of Causal Relationships
    Lucas, Christopher G., Bridgers, Sophie, Griffiths, Thomas L., and Gopnik, Alison
    Cognition 2014

2010

  1. CSJ
    Inferring Hidden Causal Structure
    Kushnir, Tamar, Gopnik, Alison, Lucas, Chris, and Schulz, Laura
    Cognitive Science 2010
  2. CSJ
    Learning the Form of Causal Relationships Using Hierarchical Bayesian Models
    Lucas, Christopher G., and Griffiths, Thomas L.
    Cognitive Science 2010