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ORCIDMichael L. Kalish
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- affiliation: University of Louisiana at Lafayette, Institute of Cognitive Science, LA, USA
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2020 – today
- 2023
[c5]Yu-Wei Chang, Michael L. Kalish:
The Categorization Task is Insufficient to Distinguish between Strategies: A Case for Partial-XOR-like Tasks. CogSci 2023
2010 – 2019
- 2015
- [c4]Irina Danileiko, Michael D. Lee, Michael L. Kalish:
A Bayesian Latent Mixture Approach to Modeling Individual Differences in Categorization Using General Recognition Theory. CogSci 2015 - 2013
- [j5]Thomas L. Griffiths, Stephan Lewandowsky
, Michael L. Kalish:
The Effects of Cultural Transmission Are Modulated by the Amount of Information Transmitted. Cogn. Sci. 37(5): 953-967 (2013) - 2011
- [j4]Jonathan Trigg, Michael L. Kalish:
Explaining How the Mind Works: On the Relation Between Cognitive Science and Philosophy. Top. Cogn. Sci. 3(2): 399-424 (2011) - [c3]Kyle Albarado, Michael L. Kalish:
Grounding lexical choice in Bayesian inference. CogSci 2011 - [c2]Kevin Robert Canini, Thomas L. Griffiths, Wolf Vanpaemel, Michael L. Kalish:
Discovering Inductive Biases in Categorization through Iterated Learning. CogSci 2011
2000 – 2009
- 2009
- [j3]Stephan Lewandowsky, Thomas L. Griffiths, Michael L. Kalish:
The Wisdom of Individuals: Exploring People's Knowledge About Everyday Events Using Iterated Learning. Cogn. Sci. 33(6): 969-998 (2009) - 2008
- [j2]Thomas L. Griffiths, Brian R. Christian, Michael L. Kalish:
Using Category Structures to Test Iterated Learning as a Method for Identifying Inductive Biases. Cogn. Sci. 32(1): 68-107 (2008) - [c1]Thomas L. Griffiths, Christopher G. Lucas, Joseph Jay Williams, Michael L. Kalish:
Modeling human function learning with Gaussian processes. NIPS 2008: 553-560 - 2007
- [j1]Thomas L. Griffiths, Michael L. Kalish:
Language Evolution by Iterated Learning With Bayesian Agents. Cogn. Sci. 31(3): 441-480 (2007)
Coauthor Index
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