Daniel Corral

11 papers B 11
YearRankTypeTitle / Venue / Authors
2025 B conf
Classification Versus Observation through Within- and Between-Category Comparison.
CogSci
Rachel Lynn Perri, Michael L. Kalish, Daniel Corral
2025 B conf
The Role of Insight and Analytic Learning During Concept Acquisition.
CogSci
Maci DelFavero, Daniel Corral
2025 B conf
Training Methods in Categorization: A Comparison of Classification and Observation on Rule Adoption and Rule Consistency.
CogSci
Yu-Wei Chang, Michael L. Kalish, Daniel Corral
2024 B conf
Extending the Locally Bayesian Learning Model to Exemplar-Based Categorization with Continuous Features.
CogSci
Yu-Wei Chang, Sinem Aytac, Cindy G. Mendoza Gonzalez, Michael L. Kalish, Daniel Corral
2024 B conf
Towards a Unified Model Describing Multiple Tasks: Extending the Retrieving Effectively from Memory Model to Categorization.
CogSci
Sinem Aytac, Yu-Wei Chang, Michael L. Kalish, Daniel Corral
2023 B conf
The Effects of Causal Structure on Causal Attribution Judgements.
CogSci
Judith L. Burkle, Micah B. Goldwater, Daniel Corral
2022 B conf
Testing the testing effect with featural and relational categories.
CogSci
Enoch Sumakpoyaa, Daniel Corral
2022 B conf
The Effects of Reflective Reasoning on Philosophical Dilemmas.
CogSci
William T. Ervin, Daniel Corral
2018 B conf
When being wrong makes you right: Incorrect examples improve complex concept learning.
CogSci
Daniel Corral, Shana Carpenter, Samara Clingan-Siverly
2017 B conf
Learning Relational Concepts through Unitary versus Compositional Representations.
CogSci
Daniel Corral, Matt Jones
2012 B conf
Learning of Relational Categories as a Function of Higher-Order Structure.
CogSci
Daniel Corral, Matt Jones