Chris Lucas

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 27

Top Topics

Reward Function

Fine Grained Categorization

Causal Inferences

Active Learning

Top Venues

Publications

Ruaridh Mon-Williams, Gen Li, Ran Long, Wenqian Du, Chris Lucas
Enabling robots to follow abstract instructions and complete complex dynamic tasks. CoRR (2024)
Aba Szollosi, Vlad Grigoras, Tadeg Quillien, Chris Lucas, Neil R. Bramley
How do instructions, examples, and testing shape task representations? CogSci (2023)
Pablo León-Villagrá, Isaac Ehrlich, Chris Lucas, Daphna Buchsbaum
Charting children's fruit categories with Markov-Chain Monte Carlo with People. CogSci (2023)
Tianwei Gong, Bonan Zhao, Robert D. McIntosh, Chris Lucas
A rational model of spatial neglect. CogSci (2023)
Tadeg Quillien, Aba Szollosi, Neil R. Bramley, Chris Lucas
Causal inference shapes counterfactual plausibility. CogSci (2023)
Rebekah Gelpi, Caiqin Zhou, Chris Lucas, Daphna Buchsbaum
Characterizing Shifts in Strategy in Active Function Learning. CogSci (2023)
Max Taylor-Davies, Stephanie Droop, Chris Lucas
Selective imitation on the basis of reward function similarity. CogSci (2023)
Nayan Saxena, Rebekah Gelpi, Daphna Buchsbaum, Chris Lucas
Dynamic Strategy Selection in Active Function Learning. CogSci (2022)
Pablo León-Villagrá, Isaac Ehrlich, Chris Lucas, Daphna Buchsbaum
Uncovering Childrens' Category Representations with MCMCP. CogSci (2022)
Tadeg Quillien, Chris Lucas
The logic of guesses: how people communicate probabilistic information. CogSci (2022)
Bonan Zhao, Neil R. Bramley, Chris Lucas
Powering up causal generalization: A model of human conceptual bootstrapping with adaptor grammars. CogSci (2022)
Zeyu Xia, Bonan Zhao, Tadeg Quillien, Chris Lucas
Dissecting causal asymmetries in inductive generalization. CogSci (2022)
Pablo León-Villagrá, Isaac Ehrlich, Chris Lucas, Daphna Buchsbaum
Uncovering children's concepts and conceptual change. CogSci (2022)
Simon Valentin, Bonan Zhao, Chentian Jiang, Neil Bramley, Chris Lucas
Symbolic and Sub-Symbolic Systems in People and Machines. CogSci (2021)
Rebekah Gelpi, Nayan Saxena, George Lifchits, Daphna Buchsbaum, Chris Lucas
Sampling Heuristics for Active Function Learning. CogSci (2021)
Jan-Philipp Fränken, Simon Valentin, Chris Lucas, Neil R. Bramley
Know your network: Sensitivity to structure in social learning. CogSci (2021)
Chentian Jiang, Chris Lucas
Exploring Causal Overhypotheses in Active Learning. CogSci (2021)
Ben Prystawski, Rebekah Gelpi, Chris Lucas, Daphna Buchsbaum
Modelling Recognition in Human Puzzle Solving. CogSci (2021)
Simon Valentin, Steven Kleinegesse, Neil R. Bramley, Michael U. Gutmann, Chris Lucas
Bayesian Experimental Design for Intractable Models of Cognition. CogSci (2021)
Pablo León-Villagrá, Isaac Ehrlich, Chris Lucas, Daphna Buchsbaum
Recovering human category structure across development using sparse judgments. CogSci (2021)
Pablo León-Villagrá, Kay Otsubo, Chris Lucas, Daphna Buchsbaum
Uncovering Category Representations with Linked MCMC with People. CogSci (2020)
Pablo León-Villagrá, Isaac Ehrlich, Chris Lucas, Daphna Buchsbaum
Exploring Category Structure in Children and Adults. CogSci (2020)
Nicolas Collignon, Chris Lucas
Epistemic drive and memory manipulations in explore-exploit problems. CogSci (2019)
Pablo León-Villagrá, Chris Lucas
Generalizing Functions in Sparse Domains. CogSci (2019)
Brian Montambault, Chris Lucas
Reward Function Complexity and Goals in Exploration-Exploitation Tasks. CogSci (2019)
Pablo León-Villagrá, Verena Klar, Adam Sanborn, Chris Lucas
Exploring the Representation of Linear Functions. CogSci (2019)
Matt Rounds, Chris Lucas, Frank Keller
Inattentional Blindness in Visual Search. CogSci (2019)