mlsanityData to 14 Oct 2026

Bridging Minds and Machines: Toward an Integration of AI and Cognitive Science

arXiv 2508.20674 ↗First posted 28 Aug 2025cs.AI q-bio.NCcited by 2

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Abstract (arXiv)

Cognitive Science has profoundly shaped disciplines such as Artificial Intelligence (AI), Philosophy, Psychology, Neuroscience, Linguistics, and Culture. Many breakthroughs in AI trace their roots to cognitive theories, while AI itself has become an indispensable tool for advancing cognitive research. This reciprocal relationship motivates a comprehensive review of the intersections between AI and Cognitive Science. By synthesizing key contributions from both perspectives, we observe that AI progress has largely emphasized practical task performance, whereas its cognitive foundations remain conceptually fragmented. We argue that the future of AI within Cognitive Science lies not only in improving performance but also in constructing systems that deepen our understanding of the human mind. Promising directions include aligning AI behaviors with cognitive frameworks, situating AI in embodiment and culture, developing personalized cognitive models, and rethinking AI ethics through cognitive co-evaluation.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 35 of its 199 references that are in the map. First posted on arXiv 28 Aug 2025.

Builds on

35 of 199 references.

References · 35

  1. 2017Attention Is All You Needcited by 60,361
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  3. 2022Training language models to follow instructions with human feedbackcited by 15,971
  4. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,459
  5. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
  6. 2014Neural Machine Translation by Jointly Learning to Align and Translatecited by 4,548
  7. 2014Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translationcited by 4,057
  8. 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,474
  9. 2023MetaGPT: Meta Programming for A Multi-Agent Collaborative Frameworkcited by 1,808
  10. 2016ConceptNet 5.5: An Open Multilingual Graph of General Knowledgecited by 1,067
  11. 2021Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learningcited by 371
  12. 2022FOLIO: Natural Language Reasoning with First-Order Logiccited by 235
23 more
  1. 2023Evaluating Large Language Models in Theory of Mind Taskscited by 222
  2. 2023A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethicscited by 163
  3. 2023EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activitiescited by 154
  4. 2023Cultural Bias and Cultural Alignment of Large Language Modelscited by 149
  5. 2022Thinking Fast and Slow in Large Language Modelscited by 137
  6. 2024OASIS: Open Agent Social Interaction Simulations with One Million Agentscited by 132
  7. 2019The Ethics of AI Ethics -- An Evaluation of Guidelinescited by 129
  8. 2023On Generative Agents in Recommendationcited by 90
  9. 2024From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agentscited by 82
  10. 2023GPTEval: A Survey on Assessments of ChatGPT and GPT-4cited by 73
  11. 2020CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualizationcited by 57
  12. 2024Y Social: an LLM-powered Social Media Digital Twincited by 44
  13. 2022An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Eracited by 33
  14. 2023The Wisdom of Partisan Crowds: Comparing Collective Intelligence in Humans and LLM-based Agentscited by 30
  15. 2024Robust Emotion Recognition in Context Debiasingcited by 24
  16. 2022Hierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept Mappingscited by 23
  17. 2024XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Modelscited by 23
  18. 2023Vesper: A Compact and Effective Pretrained Model for Speech Emotion Recognitioncited by 16
  19. 2022Fifty Years of Prolog and Beyondcited by 15
  20. 2023A Comprehensive Review on Financial Explainable AIcited by 10
  21. 2024Philosophy of Cognitive Science in the Age of Deep Learningcited by 5
  22. 2023A Survey on Semantic Processing Techniquescited by 4
  23. 2024Generative Organizational Behavior Simulation using Large Language Model based Autonomous Agents: A Holacracy Perspectivecited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.

  1. 2025Mind Meets Space: Rethinking Agentic Spatial Intelligence from a Neuroscience-inspired Perspectivecited by 7
  2. 2026SPLIT: Cross-Lingual Empathy and Cultural Grounding in English and Ukrainian LLM Responsescited by 0