| Improving the reliability and validity of the IAT with a dynamic model driven by similarity
|
Peter Kvam |
Peter D. Kvam, Louis H. Irving, Konstantina Sokratous, Colin Tucker Smith
|
Cognitive Psychology, Decision Psychology |
2024 |
| Using artificial intelligence to fit, compare, evaluate, and discover computational models of decision behavior
|
Peter Kvam |
Peter D. Kvam, Konstantina Sokratous, Anderson Fitch, Arend Hintze
|
Cognitive Psychology, Decision Psychology |
2024 |
| A unified theory of discrete and continuous responding
|
Peter Kvam |
Peter D. Kvam, A. J. A. Marley, Andrew Heathcote
|
Cognitive Psychology, Decision Psychology |
2023 |
| How to ask twenty questions and win: Machine learning tools for assessing preferences from small samples of willingness-to-pay prices
|
Peter Kvam |
Konstantina Sokratous, Anderson K. Fitch, Peter D. Kvam
|
Cognitive Psychology, Decision Psychology |
2023 |
| Rational inference strategies and the genesis of polarization and extremism
|
Peter Kvam |
Peter D. Kvam, Abhay Alaukik, Callie E. Mims, Arina Martemyanova, Matthew Baldwin
|
Cognitive Psychology, Decision Psychology |
2022 |
| Reconciling similarity across models of continuous selections
|
Peter Kvam, Brandon Turner |
Peter D. Kvam, Brandon M. Turner
|
Cognitive Neuroscience, Cognitive Psychology, Decision Psychology |
2021 |
