John E. Hummel

According to our database, John E. Hummel authored at least 21 papers between 1993 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

MindSet: Vision. A toolbox for testing DNNs on key psychological experiments.

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

CoRR, 2024

2023

On the importance of severely testing deep learning models of cognition.

Jeffrey S. Bowers, Gaurav Malhotra, Federico Adolfi, Marin Dujmovic, Milton Llera Montero, Valerio Biscione, Guillermo Puebla, John E. Hummel, Rachel F. Heaton

Cogn. Syst. Res., December, 2023

2022

Exaggeration of Stimulus Attributes in the Representation of Relational Categories.

Yuhui Du, John E. Hummel, Alexander A. Petrov

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Probing the Mental Representation of Relation-Defined Categories.

Yuhui Du, John E. Hummel, Alexander A. Petrov

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

Relation learning in a neurocomputational architecture supports cross-domain transfer.

Leonidas A. A. Doumas, Guillermo Puebla, Andrea E. Martin, John E. Hummel

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2017

Automating the Encoding for the LISA Model of Analogy from Raw Text.

Sean Wilner, John E. Hummel

Proceedings of the 28th Modern Artificial Intelligence and Cognitive Science Conference 2017, 2017

2015

Making Probabilistic Relational Categories Learnable.

Wookyoung Jung, John E. Hummel

Cogn. Sci., 2015

2013

The effects of dual verbal and visual tasks on featural vs. relational category learning.

Wookyoung Jung, John E. Hummel

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012

Hierarchical Category Structures Facilitate Acquisition of Probabilistic Relational Categories.

Wookyoung Jung, John E. Hummel

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011

Getting symbols out of a neural architecture.

John E. Hummel

Connect. Sci., 2011

Progressive Alignment Facilitates Learning of Deterministic But Not Probabilistic Relational Categories.

Wookyoung Jung, John E. Hummel

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010

Corrigendum to "Finding similarity in a model of relational reasoning" [Cognitive Systems Research 10 (2009) 229-239].

Eric G. Taylor, John E. Hummel

Cogn. Syst. Res., 2010

Symbolic Versus Associative Learning.

John E. Hummel

Cogn. Sci., 2010

A Computational Account of the Development of the Generalization of Shape Information.

Leonidas A. A. Doumas, John E. Hummel

Cogn. Sci., 2010

2009

Finding similarity in a model of relational reasoning.

Eric G. Taylor, John E. Hummel

Cogn. Syst. Res., 2009

2008

Toward a Process Model of Explanation with Implications for the Type-Token Problem.

John E. Hummel, David H. Landy, Derek Devnich

Proceedings of the Naturally-Inspired Artificial Intelligence, 2008

2005

The One-to-One Constraint in Analogical Mapping and Inference.

Daniel C. Krawczyk, Keith J. Holyoak, John E. Hummel

Cogn. Sci., 2005

2004

Varieties of sameness: the impact of relational complexity on perceptual comparisons.

James K. Kroger, Keith J. Holyoak, John E. Hummel

Cogn. Sci., 2004

A Solution to the Binding Problem for Compositional Connectionism.

John E. Hummel, Keith J. Holyoak, Collin B. Green, Leonidas A. A. Doumas, Derek Devnich, Aniket Kittur, Donald J. Kalar

Proceedings of the Compositional Connectionism in Cognitive Science, 2004

2003

"Effective systematicity" in, "effective systematicity" out: a reply to Edelman and Intrator (2003).

John E. Hummel

Cogn. Sci., 2003

1993

Geon Theory as an Account of Shape Recognition in Mind, Brain and Machine.

Irving Biederman, Eric Cooper, John E. Hummel, József Fiser

Proceedings of the British Machine Vision Conference, 1993