# Princeton University at CogSci 2026 > Source: > Published: 2026-07-24 20:34:10+00:00 The 48th Annual Meeting of the Cognitive Science Society, or [CogSci 2026](https://cognitivesciencesociety.org/cogsci-2026/), was held this week in Rio de Janeiro, Brazil, bringing together researchers in artificial intelligence, linguistics, psychology, neuroscience, and philosophy. Below is a roundup of AI-related work from Princeton researchers showcased at the conference. The full conference program is available [here](https://cognitivesciencesociety.org/wp-content/uploads/2026/07/Podium-CogSci-2026-program-v106.pdf). Oral Presentation: ### An Experimental Method to Study Opinion Diffusion in Human-AI Hybrid Societies Authors: Léna Gaubert, Rémi Devaux, Elif Çelen, **Raja Marjieh**, Diana Mangalagiu, Antoine Jardin, Nori Jacoby Links: [Paper](https://arxiv.org/pdf/2605.09197) Oral Presentation: ### Automated Discovery of Psychological Representations using Language Model Agents Authors: **Daniel Lima Braga**, **Raja Marjieh**, **Akshay Kumar Jagadish **· Princeton University, Ilia Sucholutsky, Nori Jacoby,** Brenden M. Lake**, **Tom Griffiths** Oral Presentation: ### Human-like learning in reasoning models: behavioral and neuroimaging evidence Authors: Csaba Botos, **Sreejan Kumar**, Austin Andrews, Laurence Hunt, Christopher Summerfield, Rui Ponte Costa, Josh Tenenbaum, Marcelo Gomes Mattar, Momchil Tomov Oral Presentation: ### Rational Teachers Should ‘Lie’ to Bounded Students Authors: **Huang Ham**, **Dilip Arumugam**, **Carlos Correa**, **Bonan Zhao**, **Tom Griffiths**, **Natalia Vélez** Link: [Paper](https://zhaobn.github.io/assets/pdfs/ham25lie.pdf) Oral Presentation: ### Similarity All The Way Up: Multilingual Generalization in LLMs Relies on Language-Level Similarity Structures Authors: **Supantho Rakshit**, **Adele Goldberg**, **Henry Conklin** Links: [Project Website](https://adele.scholar.princeton.edu/publications/similarity-all-way-multilingual-generalization-llms-relies-language-level-similarity) **Poster**: ### Interpretational alignment: How agents learn from physical guidance depends on how they interpret it Authors: Zhuolun Zhong, Ben Prystawski, Sarah Wu, **Bella Fascendini**, Sepehr Saeedpour, Joseph Austerweil **Poster**: ### Identifying Concepts Used by Human-Like Neural Network Chess Engines Authors: **Issac Li**, **Evan Russek**, **Ionatan Kuperwajs**, **Tom Griffiths** **Poster**: ### Signatures of discrete action symbols emerge in a task-optimized neural model Authors: **Carlos Correa**, Lucas Tian, Yue Liu, **Sreejan Kumar**, Daniel J. Hanuska, Kedar Garzón Gupta, Xiao-Jing Wang, Winrich A. Freiwald, Josh Tenenbaum, Marcelo Gomes Mattar **Poster**: ### An Episodic Memory Model Can Account for Reinforcement Learning in Humans Authors: **Javier Masis**, **Younes Strittmatter**, **Jon Cohen** **Poster**: ### Comparing LLM and Human Responses to Human- and AI-labeled Partners During Naturalistic Conversation Authors: **Rachel Metzgar**,** Michael Graziano** **Poster**: ### Online library learning in human visual puzzle solving Authors: Pinzhe Zhao, Emanuele Sansone, Marta Kryven, **Bonan Zhao** Links: [Paper](https://arxiv.org/pdf/2603.23244) **Poster**: ### Representational Similarity and Context Inference as a Shared Computational Account for False Memories in Humans Authors: **Mohan Gupta**, **Caleb Kha-Uong**, **Jordan Taylor**, **Jon Cohen** **Poster**: ### A Resource-Rational Analysis of Forgetting in Continual Learning Authors: **Shirley Yu**, **Alexander Ku**, **Tom Griffiths** **Poster**: ### Recovering Event Probabilities from Large Language Model Embeddings via Axiomatic Constraints Authors: Jian-Qiao Zhu, Haijiang Yan, **Tom Griffiths** **Poster**: ### Modeling individual differences in learning and memory using large language models Authors:** Akshay Kumar Jagadish**, Milena Rmus, Marvin Mathony, Eric Schulz **Poster**: ### Evolutionary Theory Makes Predictions About Cognition Beyond Rational Optimization Author: **Cameron Turner** **Poster**: ### Meta-Learning Captures Human-Like Geometric Sensitivity Authors: **Max Gupta**,** Declan Campbell**, **Tom Griffiths** **Poster**: ### Modeling Context-Sensitive Effects of Inequity on Reinforcement Learning Authors: **Huang Ham**, Mu-Chen Wang, Joseph Kable, Adrianna Jenkins **Poster**: ### Human-AI Synergy Supports Collective Creative Search Authors: Chenyi Li, **Raja Marjieh**, Haoyu Hu, Mark Steyvers, Katherine Collins, Ilia Sucholutsky, Nori Jacoby Links: [Paper](https://arxiv.org/pdf/2602.10001) **Poster**: ### Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations Authors: Jian-Qiao Zhu, Haijiang Yan, **Tom Griffiths** **Poster**: ### Serendipity by Design: Evaluating the Impact of Cross-domain Mappings on Human and LLM Creativity Authors: Qiawen Liu, Marina Dubova, **Henry Conklin**, Takumi Harada, **Tom Griffiths** Link: [Paper](https://arxiv.org/html/2603.19087) **Poste** r: ### Pipeline for Systematic Curation of Human Experiments Authors: **Younes Strittmatter**, **Tom Griffiths**, **Akshay Kumar Jagadish** **Poster**: ### Joint Modeling of Choices and Response Times in Multi-stage Decisions via Likelihood Approximation Authors: Jialin Li, **Carlos Correa**, Doris Yu, Prakhar Godara, Marcelo Gomes Mattar **Poster**: ### A Rational Analysis of the Effects of Sycophantic AI Authors: **Rafael Batista**, **Tom Griffiths** Links: [Paper](https://arxiv.org/pdf/2602.14270) **Poster**: ### Are they human? Detecting large language models by probing human memory constraints Authors: **Simon Schug**, **Brenden M. Lake** Links: [Paper](https://arxiv.org/pdf/2604.00016) **Poster**: ### People Intuitively Schedule Tasks to Improve Collective Efficiency Authors: **Elizabeth Mieczkowski**, **Cheryl Li**, **Natalia Vélez**, **Tom Griffiths** **Poster**: ### Do Large Language Models Resolve Fairness-Efficiency Trade-offs Like People? Authors: **Cheryl Li**, **Elizabeth Mieczkowski**, **Veronica Valera**, **Natalia Vélez**, **Tom Griffiths** **Poster**: ### When Topology Matters: Perturbative Analysis of Nonlinear Social Learning on Networks Authors: **Burak Aydin**, **Raja Marjieh**, **Tom Griffiths** **Poster**: ### Parallelograms Strike Back: LLMs Generate Better Analogies than People Authors: Qiawen Liu, **Raja Marjieh**, Jian-Qiao Zhu, **Adele Goldberg**, **Tom Griffiths** Links: [Paper](https://arxiv.org/pdf/2603.19066) **Poster**: ### How The Bias-Variance Tradeoff Shapes Human Strategy Selection Authors: Maximilian Maier, Falk Lieder, **Tom Griffiths** Links: [Paper](https://osf.io/preprints/psyarxiv/cegxd_v2)