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ORCIDChristopher G. Lucas
Christopher Lucas 0001 – Chris Lucas 0001
Person information
- affiliation: University of Edinburgh, School of Informatics, UK
- affiliation (2010 - 2013): Carnegie Mellon University, Department of Psychology, Pittsburgh, PA, USA
- affiliation (PhD 2010): University of California, Berkeley, Department of Psychology, CA, USA
Other persons with the same name
- Christopher Lucas 0002 — Pennsylvania State University, University Park, PA, USA
- Christopher Lucas 0003
![[0000-0003-1101-7249]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1101-7249")
— Australian Bureau of Meteorology, Melbourne, VIC, Australia - Chris Lucas 0002 — Babylon Health, London, UK
- Chris Lucas 0003 — Vrije Universiteit Amsterdam, SPINLab, The Netherlands
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Journal Articles
- 2025
[j5]Ruaridh Mon-Williams, Gen Li, Ran Long, Wenqian Du, Christopher G. Lucas:
Embodied large language models enable robots to complete complex tasks in unpredictable environments. Nat. Mac. Intell. 7(4): 592-601 (2025)- 2021
- [j4]Karol Stanski, Isla H. Myers-Smith, Christopher G. Lucas:
Flower Detection Using Object Analysis: New Ways to Quantify Plant Phenology in a Warming Tundra Biome. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 9287-9296 (2021) - 2012
- [j3]Bénédicte Bes, Steven A. Sloman, Christopher G. Lucas, Eric Raufaste:
Non-Bayesian Inference: Causal Structure Trumps Correlation. Cogn. Sci. 36(7): 1178-1203 (2012) - 2010
- [j2]Christopher G. Lucas, Thomas L. Griffiths:
Learning the Form of Causal Relationships Using Hierarchical Bayesian Models. Cogn. Sci. 34(1): 113-147 (2010) - [j1]Tamar Kushnir, Alison Gopnik, Christopher G. Lucas, Laura Schulz:
Inferring Hidden Causal Structure. Cogn. Sci. 34(1): 148-160 (2010)
Conference and Workshop Papers
- 2025
- [c62]Balint Gyevnar, Stephanie Droop, Tadeg Quillien, Shay B. Cohen, Neil R. Bramley, Christopher G. Lucas, Stefano V. Albrecht:
People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AI. CHI 2025: 86:1-86:18 - [c61]Samuel Garcin, Trevor McInroe, Pablo Samuel Castro, Christopher G. Lucas, David Abel, Prakash Panangaden, Stefano V. Albrecht:
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning. ICLR 2025 - 2024
- [c60]Bonan Zhao, Christopher G. Lucas, Neil R. Bramley:
Constructing Deep Concepts through Shallow Search. AAAI Spring Symposia 2024: 600-602 - [c59]Balint Gyevnar, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht:
Causal Explanations for Sequential Decision-Making in Multi-Agent Systems. AAMAS 2024: 771-779 - [c58]Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht:
DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design. ICML 2024 - [c57]Alessandro B. Palmarini, Christopher G. Lucas, N. Siddharth:
Bayesian Program Learning by Decompiling Amortized Knowledge. ICML 2024 - 2023
- [c56]Rebekah Gelpi, Caiqin Zhou, Chris Lucas, Daphna Buchsbaum:
Characterizing Shifts in Strategy in Active Function Learning. CogSci 2023 - [c55]Tianwei Gong, Bonan Zhao, Robert D. McIntosh, Chris Lucas:
A rational model of spatial neglect. CogSci 2023 - [c54]Pablo León-Villagrá, Isaac Ehrlich, Chris Lucas, Daphna Buchsbaum:
Charting children's fruit categories with Markov-Chain Monte Carlo with People. CogSci 2023 - [c53]Tadeg Quillien, Aba Szollosi, Neil R. Bramley, Chris Lucas:
Causal inference shapes counterfactual plausibility. CogSci 2023 - [c52]Aba Szollosi, Vlad Grigoras, Tadeg Quillien, Chris Lucas, Neil R. Bramley:
How do instructions, examples, and testing shape task representations? CogSci 2023 - [c51]Max Taylor-Davies, Stephanie Droop, Chris Lucas:
Selective imitation on the basis of reward function similarity. CogSci 2023 - [c50]Verna Dankers, Christopher Lucas:
Non-Compositionality in Sentiment: New Data and Analyses. EMNLP (Findings) 2023: 5150-5162 - 2022
- [c49]Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard:
Bayesian Optimisation for Active Monitoring of Air Pollution. AAAI 2022: 11908-11916 - [c48]Verna Dankers, Christopher G. Lucas, Ivan Titov:
Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation. ACL (1) 2022: 3608-3626 - [c47]Pablo León-Villagrá, Isaac Ehrlich, Chris Lucas, Daphna Buchsbaum:
Uncovering children's concepts and conceptual change. CogSci 2022 - [c46]Pablo León-Villagrá, Isaac Ehrlich, Chris Lucas, Daphna Buchsbaum:
Uncovering Childrens' Category Representations with MCMCP. CogSci 2022 - [c45]Tadeg Quillien, Chris Lucas:
The logic of guesses: how people communicate probabilistic information. CogSci 2022 - [c44]Nayan Saxena, Rebekah Gelpi, Daphna Buchsbaum, Chris Lucas:
Dynamic Strategy Selection in Active Function Learning. CogSci 2022 - [c43]Zeyu Xia, Bonan Zhao, Tadeg Quillien, Chris Lucas:
Dissecting causal asymmetries in inductive generalization. CogSci 2022 - [c42]Bonan Zhao, Neil R. Bramley, Chris Lucas:
Powering up causal generalization: A model of human conceptual bootstrapping with adaptor grammars. CogSci 2022 - 2021
- [c41]Jan-Philipp Fränken, Simon Valentin, Chris Lucas, Neil R. Bramley:
Know your network: Sensitivity to structure in social learning. CogSci 2021 - [c40]Rebekah Gelpi, Nayan Saxena, George Lifchits, Daphna Buchsbaum, Chris Lucas:
Sampling Heuristics for Active Function Learning. CogSci 2021 - [c39]Chentian Jiang, Chris Lucas:
Exploring Causal Overhypotheses in Active Learning. CogSci 2021 - [c38]Pablo León-Villagrá, Isaac Ehrlich, Chris Lucas, Daphna Buchsbaum:
Recovering human category structure across development using sparse judgments. CogSci 2021 - [c37]Ben Prystawski, Rebekah Gelpi, Chris Lucas, Daphna Buchsbaum:
Modelling Recognition in Human Puzzle Solving. CogSci 2021 - [c36]Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Michael U. Gutmann, Chris Lucas:
Bayesian Experimental Design for Intractable Models of Cognition. CogSci 2021 - [c35]Simon Valentin, Bonan Zhao, Chentian Jiang, Neil Bramley, Chris Lucas:
Symbolic and Sub-Symbolic Systems in People and Machines. CogSci 2021 - 2020
- [c34]Rebekah Gelpi, Ben Prystawski, Christopher Lucas, Daphna Buchsbaum:
Incremental Hypothesis Revision in Causal Reasoning Across Development. CogSci 2020 - [c33]Pablo León-Villagrá, Isaac Ehrlich, Chris Lucas, Daphna Buchsbaum:
Exploring Category Structure in Children and Adults. CogSci 2020 - [c32]Pablo León-Villagrá, Kay Otsubo, Chris Lucas, Daphna Buchsbaum:
Uncovering Category Representations with Linked MCMC with People. CogSci 2020 - [c31]Simon Valentin, Neil Bramley, Christopher Lucas:
Learning Hidden Causal Structure from Temporal Data. CogSci 2020 - 2019
- [c30]Arabella J. Sinclair, Rafael Ferreira, Dragan Gasevic, Christopher G. Lucas, Adam Lopez:
I Wanna Talk Like You: Speaker Adaptation to Dialogue Style in L2 Practice Conversation. AIED (2) 2019: 257-262 - [c29]Nicolas Collignon, Chris Lucas:
Epistemic drive and memory manipulations in explore-exploit problems. CogSci 2019: 1540-1546 - [c28]Pablo León-Villagrá, Verena Klar, Adam Sanborn, Chris Lucas:
Exploring the Representation of Linear Functions. CogSci 2019: 2105-2111 - [c27]Pablo León-Villagrá, Chris Lucas:
Generalizing Functions in Sparse Domains. CogSci 2019: 2112-2118 - [c26]Brian Montambault, Chris Lucas:
Reward Function Complexity and Goals in Exploration-Exploitation Tasks. CogSci 2019: 2385-2391 - [c25]Matt Rounds, Chris Lucas, Frank Keller:
Inattentional Blindness in Visual Search. CogSci 2019: 2688-2694 - [c24]Arabella Sinclair, Kate McCurdy, Christopher G. Lucas, Adam Lopez, Dragan Gasevic:
Tutorbot Corpus: Evidence of Human-Agent Verbal Alignment in Second Language Learner Dialogues. EDM 2019 - 2018
- [c23]Alan Bundy, Kwabena Nuamah, Christopher Lucas:
Automated Reasoning in the Age of the Internet. AISC 2018: 3-18 - [c22]Pablo León-Villagrá, Irina Preda, Christopher Lucas:
Data Availability and Function Extrapolation. CogSci 2018 - [c21]Arabella Sinclair, Adam Lopez, Christopher G. Lucas, Dragan Gasevic:
Does Ability Affect Alignment in Second Language Tutorial Dialogue? SIGDIAL Conference 2018: 41-50 - 2017
- [c20]Abhirup Ghosh, Christopher Lucas, Rik Sarkar:
Finding Periodic Discrete Events in Noisy Streams. CIKM 2017: 627-636 - [c19]Erik Herbst, Christopher G. Lucas, Daphna Buchsbaum:
Investigating the Explore/Exploit Trade-off in Adult Causal Inferences. CogSci 2017 - [c18]Pablo León-Villagrá, Christopher Lucas:
Identifying Causal Direction in the Two-Variable Case. CogSci 2017 - 2016
- [c17]Erik Herbst, Christopher G. Lucas, Daphna Buchsbaum:
Investigating the Explore/Exploit Trade-off in Adult Causal Inferences. CogSci 2016 - [c16]Brian Montambault, Christopher Lucas, Joseph L. Austerweil:
The construction of function representations. CogSci 2016 - [c15]Kwabena Nuamah, Alan Bundy, Christopher Lucas:
Functional Inferences over Heterogeneous Data. RR 2016: 159-166 - 2015
- [c14]Tiffany Doan, Stephanie Denison, Christopher G. Lucas, Alison Gopnik:
Learning to reason about desires: An infant training study. CogSci 2015 - [c13]Christopher G. Lucas, Kenneth Holstein, Michael Pacer:
Inferring causal structure and hidden causes from event sequences. CogSci 2015 - [c12]Andrew Gordon Wilson, Christoph Dann, Christopher G. Lucas, Eric P. Xing:
The Human Kernel. NIPS 2015: 2854-2862 - 2014
- [c11]Christopher G. Lucas, Kenneth Holstein, Charles Kemp:
Discovering hidden causes using statistical evidence. CogSci 2014 - 2013
- [c10]Daphna Buchsbaum, Caren M. Walker, Alison Gopnik, Nick Chater, David Danks, Christopher G. Lucas, Charles Kemp, Eva Rafetseder, Josef Perner:
What if? Counterfactual reasoning, pretense, and the role of possible worlds. CogSci 2013 - 2012
- [c9]Christopher G. Lucas, Charles Kemp:
A unified theory of counterfactual reasoning. CogSci 2012 - [c8]Christopher G. Lucas, Douglas Sterling, Charles Kemp:
Superspace extrapolation reveals inductive biases in function learning. CogSci 2012 - [c7]Saiwing Yeung, Christopher G. Lucas, Thomas L. Griffiths:
Determining people's expectations about the form of causal relationships. CogSci 2012 - 2011
- [c6]Jane C. Hu, Christopher G. Lucas, Thomas L. Griffiths, Fei Xu:
Young Toddlers' Understanding of Graded Preferences. CogSci 2011 - [c5]Christopher G. Lucas, Charles Kemp, Thomas L. Griffiths:
From preferences to choices and back again: evidence for human inconsistency and its implications. CogSci 2011 - [c4]Anna Waisman, Christopher G. Lucas, Thomas L. Griffiths, Lucia Jacobs:
A Bayesian model of navigation in squirrels. CogSci 2011 - [c3]Alan Jern, Christopher G. Lucas, Charles Kemp:
Evaluating the inverse decision-making approach to preference learning. NIPS 2011: 2276-2284 - 2008
- [c2]Thomas L. Griffiths, Christopher G. Lucas, Joseph Jay Williams, Michael L. Kalish:
Modeling human function learning with Gaussian processes. NIPS 2008: 553-560 - [c1]Christopher G. Lucas, Thomas L. Griffiths, Fei Xu, Christine Fawcett:
A rational model of preference learning and choice prediction by children. NIPS 2008: 985-992
Informal and Other Publications
- 2025
- [i24]Samuel Garcin, Trevor McInroe, Pablo Samuel Castro, Prakash Panangaden, Christopher G. Lucas, David Abel, Stefano V. Albrecht:
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning. CoRR abs/2503.06343 (2025) - [i23]Elizabeth Mieczkowski, Ruaridh Mon-Williams, Neil Bramley, Christopher G. Lucas, Natalia Vélez, Thomas L. Griffiths:
Predicting Multi-Agent Specialization via Task Parallelizability. CoRR abs/2503.15703 (2025) - [i22]Ruaridh Mon-Williams, Max Taylor-Davies, Elizabeth Mieczkowski, Natalia Vélez, Neil R. Bramley, Yanwei Wang, Thomas L. Griffiths, Christopher G. Lucas:
Partner Modelling Emerges in Recurrent Agents (But Only When It Matters). CoRR abs/2505.17323 (2025) - [i21]Balint Gyevnar, Christopher G. Lucas, Stefano V. Albrecht, Shay B. Cohen:
Integrating Counterfactual Simulations with Language Models for Explaining Multi-Agent Behaviour. CoRR abs/2505.17801 (2025) - 2024
- [i20]Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht:
ICED: Zero-Shot Transfer in Reinforcement Learning via In-Context Environment Design. CoRR abs/2402.03479 (2024) - [i19]Ruaridh Mon-Williams, Gen Li, Ran Long, Wenqian Du, Chris Lucas:
Enabling robots to follow abstract instructions and complete complex dynamic tasks. CoRR abs/2406.11231 (2024) - [i18]Sebastian Musslick, Laura Bartlett, Suyog H. Chandramouli, Marina Dubova, Fernand Gobet, Thomas L. Griffiths, Jessica Hullman, Ross D. King, J. Nathan Kutz, Christopher G. Lucas, Suhas Mahesh, Franco Pestilli, Sabina J. Sloman, William R. Holmes:
Automating the Practice of Science - Opportunities, Challenges, and Implications. CoRR abs/2409.05890 (2024) - 2023
- [i17]Balint Gyevnar, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht:
Causal Social Explanations for Stochastic Sequential Multi-Agent Decision-Making. CoRR abs/2302.10809 (2023) - [i16]Max Taylor-Davies, Stephanie Droop, Christopher G. Lucas:
Selective imitation on the basis of reward function similarity. CoRR abs/2305.07421 (2023) - [i15]Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Peggy Seriès, Michael U. Gutmann, Christopher G. Lucas:
Designing Optimal Behavioral Experiments Using Machine Learning. CoRR abs/2305.07721 (2023) - [i14]Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard:
Bayesian Optimisation Against Climate Change: Applications and Benchmarks. CoRR abs/2306.04343 (2023) - [i13]Alessandro B. Palmarini, Christopher G. Lucas, N. Siddharth:
DreamDecompiler: Improved Bayesian Program Learning by Decompiling Amortised Knowledge. CoRR abs/2306.07856 (2023) - [i12]Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht:
How the level sampling process impacts zero-shot generalisation in deep reinforcement learning. CoRR abs/2310.03494 (2023) - [i11]Max Taylor-Davies, Christopher G. Lucas:
Balancing utility and cognitive cost in social representation. CoRR abs/2310.04852 (2023) - [i10]Verna Dankers, Christopher G. Lucas:
Non-Compositionality in Sentiment: New Data and Analyses. CoRR abs/2310.20656 (2023) - [i9]Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard:
Data-driven Prior Learning for Bayesian Optimisation. CoRR abs/2311.14653 (2023) - 2022
- [i8]Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard:
Bayesian Optimisation for Active Monitoring of Air Pollution. CoRR abs/2202.07595 (2022) - [i7]Verna Dankers, Christopher G. Lucas, Ivan Titov:
Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation. CoRR abs/2205.15301 (2022) - [i6]Balint Gyevnar, Massimiliano Tamborski, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht:
A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning. CoRR abs/2206.08783 (2022) - [i5]Chentian Jiang, Christopher G. Lucas:
Actively learning to learn causal relationships. CoRR abs/2206.09777 (2022) - 2021
- [i4]Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Michael U. Gutmann, Christopher G. Lucas:
Bayesian Optimal Experimental Design for Simulator Models of Cognition. CoRR abs/2110.15632 (2021) - [i3]Bonan Zhao, Christopher G. Lucas, Neil R. Bramley:
Building Object-based Causal Programs for Human-like Generalization. CoRR abs/2111.12560 (2021) - 2020
- [i2]Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard:
Optimising Placement of Pollution Sensors in Windy Environments. CoRR abs/2012.10770 (2020) - 2015
- [i1]Andrew Gordon Wilson, Christoph Dann, Christopher G. Lucas, Eric P. Xing:
The Human Kernel. CoRR abs/1510.07389 (2015)
Coauthor Index
Neil Bramley
aka: Neil R. Bramley
aka: Neil R. Bramley
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