The role of higher order relational structure in relational category label extension. - Sean Snoddy; Kenneth J. Kurtz (CogSci, 2016)

Promoting Spontaneous Analogical Transfer: The Role of Category Status. - Sean Snoddy; Kenneth J. Kurtz (CogSci, 2017)

Relational Categories: Why they're Important and How they are Learned. - Dedre Gentner; Nina Simms; Kenneth J. Kurtz; Garrett Honke; Sean Snoddy; Kenneth D. Forbus; Lindsey E. Richland; Bryan J. Matlen; Emily McLaughlin Lyons; Ellen C. Klostermann (CogSci, 2018)

What does a dimension that predicts nothing do to human classification learning? - Sean Snoddy; Kenneth J. Kurtz (CogSci, 2018)

Family Resemblance in Unsupervised Categorization: A Dissociation Between Production and Evaluation. - John D. Patterson; Sean Snoddy; Kenneth J. Kurtz (CogSci, 2019)

Introducing Recursive Linear Classification (RELIC) for Machine Learning. - Sean Snoddy; Kenneth J. Kurtz (CogSci, 2019)

It's Alive! Animate Sources Produce Mnemonic Benefits. - Sean Snoddy; Joseph Wilson; Daniel Silliman; Kenneth Houghton; Deanne Westerman (CogSci, 2019)

Costly Exceptions: Deviant Exemplars Reduce Category Compression. - Daniel Silliman; Sean Snoddy; Matt Wetzel; Kenneth J. Kurtz (CogSci, 2020)

Analogical Transfer and Recognition Memory in Relational Classification Learning. - Sean Snoddy; Kenneth J. Kurtz (CogSci, 2020)

Comparison Promotes the Spontaneous Transfer of Relational Categories. - Sean Snoddy; Kenneth J. Kurtz (CogSci, 2021)