{"slug": "princeton-university-at-cogsci-2026", "title": "Princeton University at CogSci 2026", "summary": "Princeton University researchers presented 16 AI-related papers at the 48th Annual Meeting of the Cognitive Science Society (CogSci 2026) in Rio de Janeiro, Brazil, covering topics from opinion diffusion in human-AI societies to multilingual generalization in LLMs. Notable work includes an oral presentation on automated discovery of psychological representations using language model agents by Daniel Lima Braga, Raja Marjieh, Akshay Kumar Jagadish, and colleagues, and a paper on rational teachers 'lying' to bounded students by Huang Ham, Dilip Arumugam, Carlos Correa, Bonan Zhao, Tom Griffiths, and Natalia Vélez.", "body_md": "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.\n\nThe full conference program is available [here](https://cognitivesciencesociety.org/wp-content/uploads/2026/07/Podium-CogSci-2026-program-v106.pdf).\n\nOral Presentation:\n\n### An Experimental Method to Study Opinion Diffusion in Human-AI Hybrid Societies\n\nAuthors: Léna Gaubert, Rémi Devaux, Elif Çelen, **Raja Marjieh**, Diana Mangalagiu, Antoine Jardin, Nori Jacoby\n\nLinks: [Paper](https://arxiv.org/pdf/2605.09197)\n\nOral Presentation:\n\n### Automated Discovery of Psychological Representations using Language Model Agents\n\nAuthors: **Daniel Lima Braga**, **Raja Marjieh**, **Akshay Kumar Jagadish **· Princeton University, Ilia Sucholutsky, Nori Jacoby,** Brenden M. Lake**, **Tom Griffiths**\n\nOral Presentation:\n\n### Human-like learning in reasoning models: behavioral and neuroimaging evidence\n\nAuthors: Csaba Botos, **Sreejan Kumar**, Austin Andrews, Laurence Hunt, Christopher Summerfield, Rui Ponte Costa, Josh Tenenbaum, Marcelo Gomes Mattar, Momchil Tomov\n\nOral Presentation:\n\n### Rational Teachers Should ‘Lie’ to Bounded Students\n\nAuthors: **Huang Ham**, **Dilip Arumugam**, **Carlos Correa**, **Bonan Zhao**, **Tom Griffiths**, **Natalia Vélez**\n\nLink: [Paper](https://zhaobn.github.io/assets/pdfs/ham25lie.pdf)\n\nOral Presentation:\n\n### Similarity All The Way Up: Multilingual Generalization in LLMs Relies on Language-Level Similarity Structures\n\nAuthors: **Supantho Rakshit**, **Adele Goldberg**, **Henry Conklin**\n\nLinks: [Project Website](https://adele.scholar.princeton.edu/publications/similarity-all-way-multilingual-generalization-llms-relies-language-level-similarity)\n\n**Poster**:\n\n### Interpretational alignment: How agents learn from physical guidance depends on how they interpret it\n\nAuthors: Zhuolun Zhong, Ben Prystawski, Sarah Wu, **Bella Fascendini**, Sepehr Saeedpour, Joseph Austerweil\n\n**Poster**:\n\n### Identifying Concepts Used by Human-Like Neural Network Chess Engines\n\nAuthors: **Issac Li**, **Evan Russek**, **Ionatan Kuperwajs**, **Tom Griffiths**\n\n**Poster**:\n\n### Signatures of discrete action symbols emerge in a task-optimized neural model\n\nAuthors: **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\n\n**Poster**:\n\n### An Episodic Memory Model Can Account for Reinforcement Learning in Humans\n\nAuthors: **Javier Masis**, **Younes Strittmatter**, **Jon Cohen**\n\n**Poster**:\n\n### Comparing LLM and Human Responses to Human- and AI-labeled Partners During Naturalistic Conversation\n\nAuthors: **Rachel Metzgar**,** Michael Graziano**\n\n**Poster**:\n\n### Online library learning in human visual puzzle solving\n\nAuthors: Pinzhe Zhao, Emanuele Sansone, Marta Kryven, **Bonan Zhao**\n\nLinks: [Paper](https://arxiv.org/pdf/2603.23244)\n\n**Poster**:\n\n### Representational Similarity and Context Inference as a Shared Computational Account for False Memories in Humans\n\nAuthors: **Mohan Gupta**, **Caleb Kha-Uong**, **Jordan Taylor**, **Jon Cohen**\n\n**Poster**:\n\n### A Resource-Rational Analysis of Forgetting in Continual Learning\n\nAuthors: **Shirley Yu**, **Alexander Ku**, **Tom Griffiths**\n\n**Poster**:\n\n### Recovering Event Probabilities from Large Language Model Embeddings via Axiomatic Constraints\n\nAuthors: Jian-Qiao Zhu, Haijiang Yan, **Tom Griffiths**\n\n**Poster**:\n\n### Modeling individual differences in learning and memory using large language models\n\nAuthors:** Akshay Kumar Jagadish**, Milena Rmus, Marvin Mathony, Eric Schulz\n\n**Poster**:\n\n### Evolutionary Theory Makes Predictions About Cognition Beyond Rational Optimization\n\nAuthor: **Cameron Turner**\n\n**Poster**:\n\n### Meta-Learning Captures Human-Like Geometric Sensitivity\n\nAuthors: **Max Gupta**,** Declan Campbell**, **Tom Griffiths**\n\n**Poster**:\n\n### Modeling Context-Sensitive Effects of Inequity on Reinforcement Learning\n\nAuthors: **Huang Ham**, Mu-Chen Wang, Joseph Kable, Adrianna Jenkins\n\n**Poster**:\n\n### Human-AI Synergy Supports Collective Creative Search\n\nAuthors: Chenyi Li, **Raja Marjieh**, Haoyu Hu, Mark Steyvers, Katherine Collins, Ilia Sucholutsky, Nori Jacoby\n\nLinks: [Paper](https://arxiv.org/pdf/2602.10001)\n\n**Poster**:\n\n### Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations\n\nAuthors: Jian-Qiao Zhu, Haijiang Yan, **Tom Griffiths**\n\n**Poster**:\n\n### Serendipity by Design: Evaluating the Impact of Cross-domain Mappings on Human and LLM Creativity\n\nAuthors: Qiawen Liu, Marina Dubova, **Henry Conklin**, Takumi Harada, **Tom Griffiths**\n\nLink: [Paper](https://arxiv.org/html/2603.19087)\n\n**Poste** r:\n\n### Pipeline for Systematic Curation of Human Experiments\n\nAuthors: **Younes Strittmatter**, **Tom Griffiths**, **Akshay Kumar Jagadish**\n\n**Poster**:\n\n### Joint Modeling of Choices and Response Times in Multi-stage Decisions via Likelihood Approximation\n\nAuthors: Jialin Li, **Carlos Correa**, Doris Yu, Prakhar Godara, Marcelo Gomes Mattar\n\n**Poster**:\n\n### A Rational Analysis of the Effects of Sycophantic AI\n\nAuthors: **Rafael Batista**, **Tom Griffiths**\n\nLinks: [Paper](https://arxiv.org/pdf/2602.14270)\n\n**Poster**:\n\n### Are they human? Detecting large language models by probing human memory constraints\n\nAuthors: **Simon Schug**, **Brenden M. Lake**\n\nLinks: [Paper](https://arxiv.org/pdf/2604.00016)\n\n**Poster**:\n\n### People Intuitively Schedule Tasks to Improve Collective Efficiency\n\nAuthors: **Elizabeth Mieczkowski**, **Cheryl Li**, **Natalia Vélez**, **Tom Griffiths**\n\n**Poster**:\n\n### Do Large Language Models Resolve Fairness-Efficiency Trade-offs Like People?\n\nAuthors: **Cheryl Li**, **Elizabeth Mieczkowski**, **Veronica Valera**, **Natalia Vélez**, **Tom Griffiths**\n\n**Poster**:\n\n### When Topology Matters: Perturbative Analysis of Nonlinear Social Learning on Networks\n\nAuthors: **Burak Aydin**, **Raja Marjieh**, **Tom Griffiths**\n\n**Poster**:\n\n### Parallelograms Strike Back: LLMs Generate Better Analogies than People\n\nAuthors: Qiawen Liu, **Raja Marjieh**, Jian-Qiao Zhu, **Adele Goldberg**, **Tom Griffiths**\n\nLinks: [Paper](https://arxiv.org/pdf/2603.19066)\n\n**Poster**:\n\n### How The Bias-Variance Tradeoff Shapes Human Strategy Selection\n\nAuthors: Maximilian Maier, Falk Lieder, **Tom Griffiths**\n\nLinks: [Paper](https://osf.io/preprints/psyarxiv/cegxd_v2)", "url": "https://wpnews.pro/news/princeton-university-at-cogsci-2026", "canonical_source": "https://blog.ai.princeton.edu/2026/07/24/princeton-university-at-cogsci-2026/", "published_at": "2026-07-24 20:34:10+00:00", "updated_at": "2026-08-01 18:07:54.767179+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-agents", "machine-learning"], "entities": ["Princeton University", "Cognitive Science Society", "Raja Marjieh", "Daniel Lima Braga", "Akshay Kumar Jagadish", "Tom Griffiths", "Natalia Vélez", "CogSci 2026"], "alternates": {"html": "https://wpnews.pro/news/princeton-university-at-cogsci-2026", "markdown": "https://wpnews.pro/news/princeton-university-at-cogsci-2026.md", "text": "https://wpnews.pro/news/princeton-university-at-cogsci-2026.txt", "jsonld": "https://wpnews.pro/news/princeton-university-at-cogsci-2026.jsonld"}}