Jonathan D. Nelson

According to our database, Jonathan D. Nelson authored at least 19 papers between 2000 and 2023.

Collaborative distances:

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

2023

People seek easily interpretable information.

Samuel J. Cheyette, Frederick Callaway, Neil R. Bramley, Jonathan D. Nelson, Josh Tenenbaum

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

Emotions, age, and subjective probability in children.

Lara Bertram, Jonathan D. Nelson, Azzurra Ruggeri

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

2021

Fast or efficient? Strategy selection in the game Entropy Mastermind.

Lara Bertram, Florian Elsäßer, Albero Feduzi, Zsófia Gyarmathy, Weronika Kowalik, Aaliyah Onojaife, Mohab Elkaref, Eloisa Bentivegna, Jonathan D. Nelson

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

2020

The Psychology of Human Entropy Intuitions.

Lara Bertram, Eric Schulz, Matthias Hofer, Jonathan D. Nelson

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

From Efficient Coding to Information Gain: Information-Theoretic Principles in Models of Human Decision Making.

Mikaela Akrenius, Laurence T. Maloney, Jonathan D. Nelson

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

2019

Exploring the space of human exploration using Entropy Mastermind.

Eric Schulz, Lara Bertram, Matthias Hofer, Jonathan D. Nelson

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

On falsification and Optimal Experimental Design approaches to the value of information.

Jonathan D. Nelson, Vincenzo Crupi, Flavia Filimon, Garrison W. Cottrell

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Masterminding in Education: Bringing cognition, emotion and motivation together in a unified mathematical framework.

Lara Bertram, Eric Schulz, Elif Özel, Matthias Hofer, Laura Martignon, Jonathan D. Nelson

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Naïve and Robust: Class-Conditional Independence in Human Classification Learning.

Jana Jarecki, Björn Meder, Jonathan D. Nelson

Cogn. Sci., 2018

Generalized Information Theory Meets Human Cognition: Introducing a Unified Framework to Model Uncertainty and Information Search.

Vincenzo Crupi, Jonathan D. Nelson, Björn Meder, Gustavo Cevolani, Katya Tentori

Cogn. Sci., 2018

Navigating uncertainty through information search.

Charley M. Wu, Björn Meder, Jonathan D. Nelson

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

Mapping the unknown: The spatially correlated multi-armed bandit.

Charley M. Wu, Eric Schulz, Maarten Speekenbrink, Jonathan D. Nelson, Björn Meder

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Which test to perform? Modeling utility of medical tests: information gain, patient risk and financial costs.

Clara Schirren, Stefanie C. Hautz, Wolf E. Hautz, Juliane E. Kämmer, Björn Meder, Jonathan D. Nelson

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

A Unified Model of Entropy and the Value of Information.

Jonathan D. Nelson, Vincenzo Crupi, Björn Meder, Gustavo Cevolani, Katya Tentori

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2013

Informavores: Active information foraging and human cognition.

Douglas Markant, Todd M. Gureckis, Björn Meder, Jonathan D. Nelson, Peter Pirolli, Chen Yu

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

The Assumption of Class-conditional Independence in Category Learning.

Jana Jarecki, Björn Meder, Jonathan D. Nelson

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

2007

Human cortical representations for reaching: Mirror neurons for execution, observation, and imagery.

Flavia Filimon, Jonathan D. Nelson, Donald J. Hagler, Martin I. Sereno

NeuroImage, 2007

A probabilistic model of eye movements in concept formation.

Jonathan D. Nelson, Garrison W. Cottrell

Neurocomputing, 2007

2000

Active Inference in Concept Learning.

Jonathan D. Nelson, Javier R. Movellan

Proceedings of the Advances in Neural Information Processing Systems 13, 2000