Despite significant achievements and current interest in machine learning and artificial intelligence, the quest for a theory of intelligence, allowing general and efficient problem solving, has done little progress. This work tries to contribute in this direction by proposing a novel framework of intelligence based on three principles. First, the generative and mirroring nature of learned representations of inputs. Second, a grounded, intrinsically motivated and iterative process for learning, problem solving and imagination. Third, an ad hoc tuning of the reasoning mechanism over causal compositional representations using inhibition rules. Together, those principles create a systems approach offering interpretability, continuous learning, common sense and more. This framework is being developed from the following perspectives: as a general problem solving method, as a human oriented tool and finally, as model of information processing in the brain.
Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models
National Key Laboratory for Novel Software Technology, Nanjing University, China（国家新型软件技术重点实验室，南京大学，中国）；School of Artificial Intelligence, Nanjing University, China（人工智能学院，南京大学，中国）；School of Intelligence Science and Technology, Nanjing University, China（智能科学与技术学院，南京大学，中国）
Truly Assessing Fluid Intelligence of Large Language Models through Dynamic Reasoning Evaluation
Shanghai Jiao Tong University（上海交通大学）；Shanghai Artificial Intelligence Laboratory（上海人工智能实验室）；Harbin Institute of Technology（哈尔滨工业大学）；The University of Hong Kong（香港大学）
World Models in Artificial Intelligence: Sensing, Learning, and Reasoning Like a Child
TECNALIA, Basque Research & Technology Alliance (BRTA)（泰克纳利亚，巴斯克研究与技术联盟（BRTA））；University of the Basque Country (UPV/EHU)（巴斯克大学（UPV/EHU））；Medical University Graz（格拉茨医科大学）；University of Natural Resources and Life Sciences Vienna（维也纳自然资源与生命科学大学）
Vector Symbolic Algebras for the Abstraction and Reasoning Corpus
Centre for Theoretical Neuroscience（理论神经科学中心）；David R. Cheriton School of Computer Science（大卫·R·切里顿计算机科学学院）；University of Waterloo（滑铁库大学）；Department of Philosophy（哲学系）；Department of Systems Design Engineering（系统设计工程系）
NUMINA: A Natural Understanding Benchmark for Multi-dimensional Intelligence and Numerical Reasoning Abilities
School of Advanced Technology, Xi’an Jiaotong-Liverpool University（西安交通大学利物浦大学先进技术学院）；Department of Computer Science, University of Liverpool（利物浦大学计算机科学系）；The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））；Institute of Deep Perception Technology, JITRI（深度感知技术研究所）
How Far are VLMs from Visual Spatial Intelligence? A Benchmark-Driven Perspective
ARC Lab, Tencent PCG（腾讯PCG部门ARC实验室）；Shanghai Jiao Tong University（上海交通大学）；University of Macau（澳门大学）；Dalian University of Technology（大连理工大学）；The Chinese University of Hong Kong（香港中文大学）
Resource-Aware LLM Reasoning for Mobile Edge General Intelligence
Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen（清华大学深圳国际研究生院，清华大学，深圳）；College of Computing and Data Science, Nanyang Technological University, Singapore（南洋理工大学 computing 和数据科学学院，新加坡）；Department of Electronic Engineering, Tsinghua University, Beijing（清华大学电子工程系，北京）；State Key Laboratory of Space Network and Communications, Tsinghua University, Beijing（空间网络与通信国家重点实验室，清华大学，北京）；Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing（北京信息科学与技术国家研究中心，清华大学，北京）；Department of Electrical and Computer Engineering, Auburn University, Auburn, USA（阿伯丁大学电气与计算机工程系，阿伯丁，美国）
TITAN: Graph-Executable Reasoning for Cyber Threat Intelligence
Sapienza Università di Roma（萨皮恩扎罗马大学）；Institute of Informatics and Telematics (IIT)（信息与电信学研究院）；National Research Council of Italy (CNR)（意大利国家研究委员会）；Department of Excellence in Robotics and AI（机器人与人工智能卓越部门）；TeCIP Institute（TeCIP研究所）；Scuola Superiore Sant'Anna（圣安娜高级学校）
Towards general embodied intelligence: integrating large language models, knowledge bases, and reasoning capabilities to build the next generation of AI agents
College of Mechanical Engineering, Chongqing University of Technology（重庆理工大学机械工程学院）；James Watt School of Engineering, University of Glasgow（格拉斯哥大学詹姆斯·瓦特工程学院）；School of Energy and Power, Jiangsu University of Science and Technology（江苏科技大学能源与动力学院）；Magnesium Research Center, Kumamoto University（熊本大学镁研究中心）；Department of Information and Communication Engineering, Nagoya University（名古屋大学信息与通信工程系）；State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University（浙江大学流体动力与机电系统国家重点实验室）
MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning
School of Information Science and Engineering, Lanzhou University（兰州大学信息科学与工程学院）；School of Medical Technology, Beijing Institute of Technology（北京理工大学医学技术学院）；Cloud and AI BU, Huawei（华为云与AI业务部）；School of Computing, National University of Singapore（新加坡国立大学计算机学院）
