This article describes existing and expected benefits of the "SP theory of intelligence", and some potential applications. The theory aims to simplify and integrate ideas across artificial intelligence, mainstream computing, and human perception and cognition, with information compression as a unifying theme. It combines conceptual simplicity with descriptive and explanatory power across several areas of computing and cognition. In the "SP machine" -- an expression of the SP theory which is currently realized in the form of a computer model -- there is potential for an overall simplification of computing systems, including software. The SP theory promises deeper insights and better solutions in several areas of application including, most notably, unsupervised learning, natural language processing, autonomous robots, computer vision, intelligent databases, software engineering, information compression, medical diagnosis and big data. There is also potential in areas such as the semantic web, bioinformatics, structuring of documents, the detection of computer viruses, data fusion, new kinds of computer, and the development of scientific theories. The theory promises seamless integration of structures and functions within and between different areas of application. The potential value, worldwide, of these benefits and applications is at least $190 billion each year. Further development would be facilitated by the creation of a high-parallel, open-source version of the SP machine, available to researchers everywhere.
The Animal-AI Environment: A Virtual Laboratory For Comparative Cognition and Artificial Intelligence Research
University of Cambridge（剑桥大学）；Universitat Politècnica de València（瓦伦西亚理工大学）；University of Hull（赫尔大学）；University of Exeter（埃克塞特大学）；Imperial College London（伦敦帝国学院）
Agent cognition through micro-simulations: Adaptive and tunable intelligence with NetLogo LevelSpace
Center for Connected Learning and Computer-Based Modeling（互联学习与计算机建模中心）；Northwestern Institute of Complex Systems（西北大学复杂系统研究所）；Northwestern University（西北大学）
Remapping and navigation of an embedding space via error minimization: a fundamental organizational principle of cognition in natural and artificial systems
Allen Discovery Center at Tufts University（塔夫茨大学阿伦发现中心）；Wyss Institute for Biologically Inspired Engineering at Harvard University（哈佛大学生物启发工程研究所）
Emotional intelligence in large language models is fragmented across perception, cognition, and interaction
X-LANCE Lab（X-LANCE实验室）；School of Computer Science, Shanghai Jiao Tong University（上海交通大学计算机科学学院）；MoE Key Lab of Artificial Intelligence（人工智能MOE重点实验室）；Jiangsu Key Lab of Language Computing（江苏省语言计算重点实验室）；Beijing Key Laboratory of Applied Experimental Psychology（北京应用实验心理学重点实验室）；National Demonstration Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University（北京师范大学实验心理学教育国家级示范中心，心理学学院）
Generative midtended cognition and Artificial Intelligence. Thinging with thinging things
IAS-Research Centre for Life, Mind and Society, Dept. Philosophy, UPV/EHU, University of the Basque Country, Donostia, Gipuzkoa (Spain)（生命、心智与社会研究中心，哲学系，巴斯克大学，Donostia, Gipuzkoa (西班牙)）
M3GIA: A Cognition Inspired Multilingual and Multimodal General Intelligence Ability Benchmark
AutoLab, Westlake University（西湖大学AutoLab）；Alibaba Group（阿里巴巴集团）；Zhejiang University（浙江大学）；Key Laboratory of Behavioral Science, Institute of Psychology, CAS（中国科学院心理研究所行为科学重点实验室）；Key Laboratory of AI Safety, Institute of Computing Technology, CAS（中国科学院计算技术研究所人工智能安全重点实验室）
From reactive to cognitive: brain-inspired spatial intelligence for embodied agents
Department of Computer Science and Technology, Institute for AI, BNRist Center, Tsinghua-Bosch Joint ML Center, THBI Lab（计算机科学与技术系、人工智能研究院、BNRist中心、清华-博世联合机器学习中心、THBI实验室）；Institute of Artificial Intelligence（人工智能研究院）；Department of Psychological and Cognitive Sciences（心理学与认知科学系）
Independent Researcher（独立研究者）；Department of Computing Science, University of Alberta, Canada（阿尔伯塔大学计算机科学系）；Alberta Machine Intelligence Institute (Amii)（阿尔伯塔机器智能研究所）
Position Paper: Agent AI Towards a Holistic Intelligence
Stanford University（斯坦福大学）；University of California, Los Angeles（加利福尼亚大学洛杉矶分校）；Microsoft Gaming US（美国微软游戏部门）；MSR Accelerator（微软研究院加速器）；MSR AI Frontiers（微软研究院人工智能前沿部门）；Microsoft Research Core（微软研究院核心部门）；Microsoft Applied Robotics Research（微软应用机器人研究院）
本文倡导从还原论转向整体智能，提出整合大型基础模型与智能体行动的 Agent AI 及 Agent Foundation Model，并探讨其跨领域能力与认知意识意义。
A Systems Approach to Achieving the Benefits of Artificial Intelligence in UK Defence
Defence Science and Technology Laboratory（国防科学技术实验室）；IBM Ltd（IBM有限公司）；Cranfield Defence and Security Doctoral Training Centre（克兰菲尔德防务与安全博士培训中心）；Defence Academy（国防学院）
Generativism: Toward a Learning Theory for the Age of Generative Artificial Intelligence
Department of Education and Human Services, College of Education, Lehigh University（教育与人类服务系，教育学院，莱维大学）；Department of Community and Global Health, College of Health, Lehigh University（社区与全球健康系，健康学院，莱维大学）
System 0/1/2/3: Quad-process theory for multi-timescale embodied collective cognitive systems
Kyoto University（京都大学）；Ritsumeikan University（立命馆大学）；Keio University（Keio大学）；The University of Tokyo（东京大学）；Osaka University（大阪大学）；OMRON SINIC X Corporation（OMRON SINIC X公司）
本文提出 System 0/1/2/3 框架，将双过程理论扩展为包含具身过程与集体智能的四过程认知模型，结合多尺度时间理论统一认知动态，为认知科学、AI 和机器人研究提供新理论基础。
