Overview

The field builds formal accounts of mental processes, from Bayesian inference, reinforcement learning, and memory models to symbolic program induction and cognitive architectures. Researchers test these accounts against human behavior in tasks involving choice, language comprehension, causal learning, and theory of mind, as well as psychometric data and brain responses. Large language models are now studied both as candidate models of cognition and as tools for simulating learners, decision-makers, and social interactions. A central challenge is distinguishing a good behavioral fit from a faithful account of the underlying process, especially across tasks, individuals, and changing contexts.

Latest papers

CardsList

120 papers9 papers in the last four weeks, down 18% on the four weeks before. 0.1% of all new papers.

  1. Multitask Interactions in Recurrent Dynamics across 100 Cognitive Tasks

    Oct 24, 2026Sílvia García-Hernández, Leema Hamid, Manuel BrennerMulti-Task LearningRecurrent Neural Networks

  2. Cognitive Maps in Large Language Models

    Oct 19, 2026Albert Qin, Jonathan Cohen, Gautam ReddyCognitive ModelingMechanistic Interpretability

  3. A small cognitive core explains human behavior at scale

    Oct 9, 2026Marcel Binz, Eric SchulzCognitive ModelingHuman Behavior Modeling

  4. Neural Decoding as Cognitive Inference

    Oct 8, 2026Yi Guo, Changhong Jing, Yong Hu +4Neural DecodingCognitive Modeling

  5. Teaching a Minimalist Machine to Discover Recursive Programs for Arithmetic

    Oct 5, 2026Dominik Magiera, Christiane Wiebel-Herboth, Frank JäkelCognitive ModelingProgram Synthesis

  6. Response Variability and Stability in Human Reasoning

    Oct 2, 2026Clemens Bombach, Rajmadan Lakshmanan, Marco RagniCognitive ModelingComputational Cognitive Modeling

  7. Cognitive Expert Language Models Better Align with the Corresponding Brain Systems

    Sep 28, 2026Zhivar Sourati, Mengxuan Helen Wu, Nona Ghazizadeh +3Cognitive Modeling

  8. Better Behavioral Prediction, More Faithful Model Ablations? Evidence from Sequential Choice

    Sep 28, 2026Hanbo XieCognitive Modeling

  9. SMTB: Fast Structure-Mapping with Tight Bounds

    Sep 22, 2026Daniel Weitekamp, Christopher MacLellanCognitive ModelingAnalogical Reasoning

  10. Toward a Unified Mathematics of Concepts

    Sep 21, 2026Chen ShaniComputational Cognitive ModelingCognitive Modeling

  11. Diffusion Models and Concept Formation

    Sep 11, 2026Zekun Wang, Karthik Singaravadivelan, Christopher J. MacLellanCognitive ModelingHierarchical Representation Learning

  12. Beyond ID Embeddings: Process-Grounded Language Modeling for Cognitive Diagnosis

    Sep 11, 2026Minghang Liu, Yuanzhuo Wang, Qiang Qiu +2LLM GroundingCognitive Modeling

  13. Do LLMs Choose Like Humans? Using Cognitive Theory to Evaluate LLM Decision-Making

    Sep 2, 2026Johnathan Sun, Andrei Shleifer, Yonatan BelinkovLLM Decision-MakingFraming Effects in Language Models

  14. Thinking effort aligns between humans and reasoning models in abductive reasoning

    Sep 1, 2026Henry ArthurLLM AlignmentCognitive Modeling

  15. Induction and Inquiry via Probabilistic Reasoning over Language and Code

    Sep 1, 2026Wasu Top Piriyakulkij, Sam Acquaviva, Cassidy Langenfeld +2Cognitive ModelingActive Learning

  16. ORDDAR: Observation-Driven Reasoning for Distortion-Resilient Decision, Action, and Cognitive Recovery

    Aug 27, 2026Deblina Kar, Anant Nawalgaria, Shyamal Kumar Das MandalAgentic ReasoningAI Agent Reliability

  17. Cognitive Profiling of LRMs' Reasoning Traces Using Bloom's Taxonomy

    Aug 24, 2026Maria-Eleni Zoumpoulidi, Georgios Paraskevopoulos, Alexandros PotamianosLarge Reasoning ModelsReasoning Trace Analysis

  18. On the use of foundation models in cognitive science

    Aug 7, 2026Raj Sanjay Shah, Alex Warstadt, Michael Frank +1Computational Cognitive ModelingCognitive Modeling

  19. Multi-Perspective Triad Interaction Graph Neural Network for Cognitive Distortion Detection

    Aug 7, 2026Jun Seo Kim, Hye Hyeon KimGraph Neural NetworksCognitive Modeling

  20. An entropic explanation of insistence on sameness in autism

    Aug 5, 2026Przemysław ŚliwińskiComputational Cognitive ModelingCognitive Modeling

  21. Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model

    Aug 4, 2026Yufei Wu, Shanqing Gao, Andreas Voss +1Neural Posterior EstimationCognitive Modeling

  22. KC-Agent: A Dual-Process Cognitive Architecture for Efficient ML Model Improvement

    Aug 3, 2026Gusseppe Bravo-Rocca, Jordi Guitart, Ajay Dholakia +2Cognitive ModelingConcept Drift