Michael L. Kalish

14 papers B 8Journal 5Unranked 1
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
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 Categorization Task is Insufficient to Distinguish between Strategies: A Case for Partial-XOR-like Tasks.
CogSci
Yu-Wei Chang, Michael L. Kalish
2015 B conf
A Bayesian Latent Mixture Approach to Modeling Individual Differences in Categorization Using General Recognition Theory.
CogSci
Irina Danileiko, Michael D. Lee, Michael L. Kalish
2013 J jnl
The Effects of Cultural Transmission Are Modulated by the Amount of Information Transmitted.
Cogn. Sci.
Thomas L. Griffiths, Stephan Lewandowsky, Michael L. Kalish
2011 B conf
Discovering Inductive Biases in Categorization through Iterated Learning.
CogSci
Kevin Robert Canini, Thomas L. Griffiths, Wolf Vanpaemel, Michael L. Kalish
2011 J jnl
Explaining How the Mind Works: On the Relation Between Cognitive Science and Philosophy.
Top. Cogn. Sci.
Jonathan Trigg, Michael L. Kalish
2011 B conf
Grounding lexical choice in Bayesian inference.
CogSci
Kyle Albarado, Michael L. Kalish
2009 J jnl
The Wisdom of Individuals: Exploring People's Knowledge About Everyday Events Using Iterated Learning.
Cogn. Sci.
Stephan Lewandowsky, Thomas L. Griffiths, Michael L. Kalish
2008 — conf
Modeling human function learning with Gaussian processes.
NIPS
Thomas L. Griffiths, Christopher G. Lucas, Joseph Jay Williams, Michael L. Kalish
2008 J jnl
Using Category Structures to Test Iterated Learning as a Method for Identifying Inductive Biases.
Cogn. Sci.
Thomas L. Griffiths, Brian R. Christian, Michael L. Kalish
2007 J jnl
Language Evolution by Iterated Learning With Bayesian Agents.
Cogn. Sci.
Thomas L. Griffiths, Michael L. Kalish