Thomas Shultz

Thomas Shultz

McGill University

H-index: 51

North America-Canada

About Thomas Shultz

Thomas Shultz, With an exceptional h-index of 51 and a recent h-index of 22 (since 2020), a distinguished researcher at McGill University, specializes in the field of learning, development, evolution, emergence.

His recent articles reflect a diverse array of research interests and contributions to the field:

GPT-4 Understands Discourse at Least as Well as Humans Do

A Perceptual Front-End for Probability Learning: Object Detection with YOLO

AI Agents Learn to Trust

Neural Network Modeling of Pure Reasoning in Preverbal Infants

Towards Machines that Trust: AI Agents Learn to Trust in the Trust Game

A Neural Model of Number Comparison with Robust Generalization

Cognitive Models as Simulators: Using Cognitive Models to Tap into Implicit Human Feedback

A Computational Model of Children's Learning and Use of Probabilities Across Different Ages

Thomas Shultz Information

University

Position

Professor of Psychology

Citations(all)

10656

Citations(since 2020)

1767

Cited By

9390

hIndex(all)

51

hIndex(since 2020)

22

i10Index(all)

134

i10Index(since 2020)

45

Email

University Profile Page

McGill University

Google Scholar

View Google Scholar Profile

Thomas Shultz Skills & Research Interests

learning

development

evolution

emergence

Top articles of Thomas Shultz

Title

Journal

Author(s)

Publication Date

GPT-4 Understands Discourse at Least as Well as Humans Do

arXiv preprint arXiv:2403.17196

Thomas Shultz

Jamie Wise

Ardavan Salehi Nobandegani

2024/3/25

A Perceptual Front-End for Probability Learning: Object Detection with YOLO

Proceedings of the Annual Meeting of the Cognitive Science Society

Zhe Fan

Zilong Wang

Thomas Shultz

2023

AI Agents Learn to Trust

Proceedings of the Annual Meeting of the Cognitive Science Society

Ardavan S Nobandegani

Irina Rish

Thomas Shultz

2023

Neural Network Modeling of Pure Reasoning in Preverbal Infants

Proceedings of the Annual Meeting of the Cognitive Science Society

Ardavan S Nobandegani

Thomas Shultz

2023

Towards Machines that Trust: AI Agents Learn to Trust in the Trust Game

arXiv preprint arXiv:2312.12868

Ardavan S Nobandegani

Irina Rish

Thomas R Shultz

2023/12/20

A Neural Model of Number Comparison with Robust Generalization

Proceedings of the Annual Meeting of the Cognitive Science Society

Thomas Shultz

Ardavan S Nobandegani

Zilong Wang

2023

Cognitive Models as Simulators: Using Cognitive Models to Tap into Implicit Human Feedback

Ardavan S Nobandegani

Thomas Shultz

Irina Rish

2023/6/20

A Computational Model of Children's Learning and Use of Probabilities Across Different Ages

arXiv preprint arXiv:2305.04128

Zilong Wang

Thomas R Shultz

Ardvan S Nobandegani

2023/5/6

A Neural Model of Number Comparison with Surprisingly Robust Generalization

arXiv preprint arXiv:2210.07392

Thomas R Shultz

Ardavan S Nobandegani

Zilong Wang

2022/10/13

Modeling the learning and use of probability distributions in chimpanzees and humans

Proceedings of the Annual Meeting of the Cognitive Science Society

Thomas Shultz

Ardavan S Nobandegani

2022

A Resource-Rational Process Model of Violation of Cumulative Independence

Proceedings of the Annual Meeting of the Cognitive Science Society

Yiwei Cao

Ardavan S Nobandegani

Thomas Shultz

2022

Cognitive Models as Simulators: The Case of Moral Decision-Making

arXiv preprint arXiv:2210.04121

Ardavan S Nobandegani

Thomas R Shultz

Irina Rish

2022/10/8

Ingroup-biased copying promotes cultural diversity and complexity

Proceedings of the Annual Meeting of the Cognitive Science Society

Marcel Montrey

Thomas Shultz

2022

A constraint-satisfaction model of Machiavellianism effects in cognitive dissonance

Thomas R Shultz

Mark R Lepper

2022/5/16

Copy the in-group: Group membership trumps perceived reliability, warmth, and competence in a social-learning task

Psychological Science

Marcel Montrey

Thomas R Shultz

2022/1

14 Computational Approaches to Cognitive Development

Ardavan S Nobandegani

Thomas R Shultz

2022/3/3

A resource-rational process-level account of violation of stochastic dominance

Proceedings of the Annual Meeting of the Cognitive Science Society

Feng Xia

Ardavan S Nobandegani

Thomas Shultz

Rahul Bhui

2022

A computational model of infant learning and reasoning with probabilities.

Psychological Review

Thomas R Shultz

Ardavan S Nobandegani

2022/11

Emotions in games: Toward a unified process-level account

Proceedings of the Annual Meeting of the Cognitive Science Society

Myriam Lizotte

Ardavan S Nobandegani

Thomas Shultz

2021

A unified, resource-rational account of the Allais and Ellsberg paradoxes

proceedings of the annual meeting of the cognitive science society

Ardavan S Nobandegani

Thomas Shultz

Laurette Dubé

2021

See List of Professors in Thomas Shultz University(McGill University)