Demonstrating the Impact of Prior Knowledge in Risky Choice. - Mathew D. Hardy; Tom Griffiths 001 (CogSci, 2019)

Optimal nudging. - Frederick Callaway; Mathew D. Hardy; Tom Griffiths 001 (CogSci, 2020)

Population-level amplification of perceptual bias. - Mathew D. Hardy; Bill Thompson 001; Peter M. Krafft; Tom Griffiths 001 (CogSci, 2020)

Bias amplification in experimental social networks is reduced by resampling. - Mathew D. Hardy; Bill D. Thompson; P. M. Krafft; Thomas L. Griffiths 001 (CoRR, 2022)

Overcoming Individual Limitations Through Distributed Computation: Rational Information Accumulation in Multigenerational Populations. - Mathew D. Hardy; Peaks M. Krafft; Bill Thompson 001; Thomas L. Griffiths 001 (Top. Cogn. Sci., 2022)

Large language models meet cognitive science: LLMs as tools, models, and participants. - Mathew D. Hardy; Ilia Sucholutsky; Bill Thompson 001; Tom Griffiths 001 (CogSci, 2023)

How do Humans Overcome Individual Computational Limitations by Working Together? - Natalia Vélez; Brian R. Christian; Mathew D. Hardy; Bill D. Thompson; Thomas L. Griffiths 001 (Cogn. Sci., 2023)

When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1. - R. Thomas McCoy; Shunyu Yao; Dan Friedman; Mathew D. Hardy; Thomas L. Griffiths 001 (CoRR, 2024)

Improving choice by automatically restructuring decision environments - Mathew D. Hardy (2024)