John E. Hummel

26 papers A 1B 8Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
From Basic Affordances to Symbolic Thought: A Computational Phylogenesis of Biological Intelligence.
CoRR
John E. Hummel, Rachel F. Heaton
2025 B conf
Modeling the effect of cortical magnification on feature detection and individuation.
CogSci
Rachel F. Heaton, John E. Hummel
2024 J jnl
MindSet: Vision. A toolbox for testing DNNs on key psychological experiments.
CoRR
Valerio Biscione, Dong Yin, Gaurav Malhotra, Marin Dujmovic, Milton Llera Montero, Guillermo Puebla, Federico Adolfi, Rachel F. Heaton, John E. Hummel, Benjamin D. Evans, Karim Habashy, Jeffrey S. Bowers
2023 J jnl
On the importance of severely testing deep learning models of cognition.
Cogn. Syst. Res.
Jeffrey S. Bowers, Gaurav Malhotra, Federico Adolfi, Marin Dujmovic, Milton Llera Montero, Valerio Biscione, Guillermo Puebla, John E. Hummel, Rachel F. Heaton
2022 B conf
Exaggeration of Stimulus Attributes in the Representation of Relational Categories.
CogSci
Yuhui Du, John E. Hummel, Alexander A. Petrov
2021 B conf
Probing the Mental Representation of Relation-Defined Categories.
CogSci
Yuhui Du, John E. Hummel, Alexander A. Petrov
2020 B conf
Relation learning in a neurocomputational architecture supports cross-domain transfer.
CogSci
Leonidas A. A. Doumas, Guillermo Puebla, Andrea E. Martin, John E. Hummel
2019 B conf
Rapid Unsupervised Encoding of Object Files for Visual Reasoning.
CogSci
Rachel F. Heaton, John E. Hummel
2019 J jnl
Relation learning in a neurocomputational architecture supports cross-domain transfer.
CoRR
Leonidas A. A. Doumas, Guillermo Puebla, Andrea E. Martin, John E. Hummel
2017 — conf
Automating the Encoding for the LISA Model of Analogy from Raw Text.
MAICS
Sean Wilner, John E. Hummel
2015 J jnl
A Single Counterexample Leads to Moral Belief Revision.
Cogn. Sci.
Zachary Horne, Derek Powell, John E. Hummel
2015 J jnl
Making Probabilistic Relational Categories Learnable.
Cogn. Sci.
Wookyoung Jung, John E. Hummel
2013 B conf
The effects of dual verbal and visual tasks on featural vs. relational category learning.
CogSci
Wookyoung Jung, John E. Hummel
2012 B conf
Hierarchical Category Structures Facilitate Acquisition of Probabilistic Relational Categories.
CogSci
Wookyoung Jung, John E. Hummel
2011 J jnl
Getting symbols out of a neural architecture.
Connect. Sci.
John E. Hummel
2011 B conf
Progressive Alignment Facilitates Learning of Deterministic But Not Probabilistic Relational Categories.
CogSci
Wookyoung Jung, John E. Hummel
2010 J jnl
A Computational Account of the Development of the Generalization of Shape Information.
Cogn. Sci.
Leonidas A. A. Doumas, John E. Hummel
2010 J jnl
Corrigendum to "Finding similarity in a model of relational reasoning" [Cognitive Systems Research 10 (2009) 229-239].
Cogn. Syst. Res.
Eric G. Taylor, John E. Hummel
2010 J jnl
Symbolic Versus Associative Learning.
Cogn. Sci.
John E. Hummel
2009 J jnl
Finding similarity in a model of relational reasoning.
Cogn. Syst. Res.
Eric G. Taylor, John E. Hummel
2008 — conf
Toward a Process Model of Explanation with Implications for the Type-Token Problem.
AAAI Fall Symposium: Naturally-Inspired Artificial Intelligence
John E. Hummel, David H. Landy, Derek Devnich
2005 J jnl
The One-to-One Constraint in Analogical Mapping and Inference.
Cogn. Sci.
Daniel C. Krawczyk, Keith J. Holyoak, John E. Hummel
2004 — conf
A Solution to the Binding Problem for Compositional Connectionism.
AAAI Technical Report (3)
John E. Hummel, Keith J. Holyoak, Collin B. Green, Leonidas A. A. Doumas, Derek Devnich, Aniket Kittur, Donald J. Kalar
2004 J jnl
Varieties of sameness: the impact of relational complexity on perceptual comparisons.
Cogn. Sci.
James K. Kroger, Keith J. Holyoak, John E. Hummel
2003 J jnl
"Effective systematicity" in, "effective systematicity" out: a reply to Edelman and Intrator (2003).
Cogn. Sci.
John E. Hummel
1993 A conf
Geon Theory as an Account of Shape Recognition in Mind, Brain and Machine.
BMVC
Irving Biederman, Eric Cooper, John E. Hummel, József Fiser