IBM；University of Udine（乌迪内大学）；European University Institute（欧洲大学学院）；Tulane University（杜兰大学）；Universty of South Carolina（南卡罗来纳大学）
Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jon Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava
This paper proposes a research direction to advance AI which draws inspiration from cognitive theories of human decision making. The premise is that if we gain insights about the causes of some human capabilities that are still lacking in AI (for instance, adaptability, generalizability, common sense, and causal reasoning), we may obtain similar capabilities in an AI system by embedding these causal components. We hope that the high-level description of our vision included in this paper, as well as the several research questions that we propose to consider, can stimulate the AI research community to define, try and evaluate new methodologies, frameworks, and evaluation metrics, in the spirit of achieving a better understanding of both human and machine intelligence.
MER-R1: Multimodal Emotion Reasoning via Slow-Fast Thinking Synergy
University of Science and Technology of China（中国科学技术大学）；SenseTime Research（商汤科技研究院）；The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））；Institute of Artificial Intelligence, Hefei Comprehensive National Science Center（合肥综合性国家科学中心人工智能研究院）
Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning
Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China（中国人民大学人工智能学院）；Beijing Key Laboratory of Research on Large Models（北京大型模型研究关键实验室）；Engineering Research Center of Next-Generation Intelligent Search（下一代智能搜索工程研究中心）；College of Artificial Intelligence, Tianjin University of Science（天津科技大学人工智能学院）
Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments
Union College（联合学院）；IBM Research（IBM研究院）；University of Udine（乌迪内大学）；University of Brescia（布雷西亚大学）；Tulane University（杜兰大学）；University of West Florida（西佛罗里达大学）；Univ. of South Carolina（南卡罗来纳大学）；Institute for Human and Machine Cognition（人机认知研究所）
Do Quantum AIs Dream in Paths? Path-Integral Slow Thinking through Grover Interference
Institute of Theoretical Physics, Chinese Academy of Sciences（中国科学院理论物理研究所）；Shenzhen International Quantum Academy（深圳国际量子研究院）；Hefei National Laboratory（合肥国家实验室）
Pratt School of Engineering（普拉特工程学院）；Duke University（杜克大学）；School of Computer Science（计算机科学学院）；Northeast Electric Power University（东北电力大学）；Department of Information and Communication Engineering（信息与通信工程系）；Tongji University（同济大学）；School of Computer Science and Technology（计算机科学与技术学院）；School of International Education（国际教育学院）；Beijing University of Chemical Technology（北京化工大学）；East China Normal University（华东师范大学）；Information Hub（信息枢纽）；Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））；Chinese Academy of Science（中国科学院）
Union College（联合学院）；University of Parma（帕尔马大学）；IBM Research（IBM研究院）；University of Brescia（布雷西亚大学）；Tulane University（杜兰大学）；Institute for Human and Machine Cognition（人类与机器认知研究所）
AtomThink: Multimodal Slow Thinking with Atomic Step Reasoning
Shenzhen Campus of Sun Yat-sen University（中山大学深圳校区）；ETH Zurich（苏黎世联邦理工学院）；Hong Kong University of Science and Technology（香港科技大学）；University of Hong Kong（香港大学）；Noah’s Ark Lab（诺亚实验室）；Yinwang Intelligent Technology Co., Ltd.（亿纬智能科技有限公司）
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
Allen Institute for Artificial Intelligence（艾伦人工智能研究所）；University of Southern California（南加州大学）；University of Washington（华盛顿大学）；Tsinghua University（清华大学）；Paradigm Inc.（第四范式公司）；University of California, San Diego（加州大学圣地亚哥分校）；MosaicML（MosaicML公司）
Tree-of-Mixed-Thought: Combining Fast and Slow Thinking for Multi-hop Visual Reasoning
University of Science and Technology of China（中国科学技术大学）；cmss.chinamobile.com（中移（苏州）软件技术有限公司）；Lin Gang Laboratory（林冈实验室）；ShanghaiTech University（上海科技大学）
Emergent Slow Thinking in LLMs as Inverse Tree Freezing
Hefei National Laboratory, University of Science and Technology of China（中国科学技术大学合肥微尺度物质科学国家实验室）；Hefei National Laboratory for Physical Sciences at the Microscale and Department of Modern Physics, University of Science and Technology of China（中国科学技术大学合肥微尺度物质科学国家实验室和现代物理系）；Institute of Theoretical Physics, Chinese Academy of Sciences（中国科学院理论物理研究所）；School of Fundamental Physics and Mathematical Sciences, Hangzhou Institute for Advanced Study, UCAS（杭州高等研究院基础物理与数学科学学院）；DP Technology（DP技术）；Lanzhou Center for Theoretical Physics, Key Laboratory of Theoretical Physics of Gansu Province, Key Laboratory of Quantum Theory and Applications of MoE, Gansu Provincial Research Center for Basic Disciplines of Quantum Physics, Lanzhou University（兰州理论物理中心、甘肃省理论物理重点实验室、教育部量子理论与应用重点实验室、甘肃省量子物理基础学科省重点实验室、兰州大学）；AI for Science Institute, Beijing（北京人工智能科学研究院）
PRIME: Planning and Retrieval-Integrated Memory for Enhanced Reasoning
Center for Healthcare Organization and Implementation Research, VA Bedford Health Care（VA Bedford Health Care 医疗组织与实施研究中心）；Manning College of Information and Computer Sciences, University of Massachusetts Amherst（马萨诸塞大学阿默斯特分校信息与计算机科学学院）；Miner School of Computer and Information Sciences, University of Massachusetts Lowell（马萨诸塞大学洛厄尔分校 Miner 信息与计算机科学学院）
