This paper explores the emergence of norms in agents' societies when agents play multiple -even incompatible- roles in their social contexts simultaneously, and have limited interaction ranges. Specifically, this article proposes two reinforcement learning methods for agents to compute agreements on strategies for using common resources to perform joint tasks. The computation of norms by considering agents' playing multiple roles in their social contexts has not been studied before. To make the problem even more realistic for open societies, we do not assume that agents share knowledge on their common resources. So, they have to compute semantic agreements towards performing their joint actions. %The paper reports on an empirical study of whether and how efficiently societies of agents converge to norms, exploring the proposed social learning processes w.r.t. different society sizes, and the ways agents are connected. The results reported are very encouraging, regarding the speed of the learning process as well as the convergence rate, even in quite complex settings.
Simulation of emergence in artificial societies: a practical model-based approach with the EB-DEVS formalism
CONICET-Universidad de Buenos Aires（阿根廷布宜诺斯艾利斯大学-阿根廷国家科学与技术研究委员会）；Universidad de Buenos Aires（布宜诺斯艾利斯大学）；Facultad de Ciencias Exactas y Naturales（精确与自然科学学院）；Departamento de Computación（计算机系）；Instituto de Cálculo (IC)（计算研究所）
Emergence of Social Norms in Generative Agent Societies: Principles and Architecture
School of Mechanical Engineering, Northwestern Polytechnical University（西北工业大学机械工程学院）；School of Cybersecurity, Northwestern Polytechnical University（西北工业大学网络空间安全学院）；School of Artificial Intelligence, OPtics and ElectroNics(iOPEN), Northwestern Polytechnical University（西北工业大学人工智能、光学与电子学院（iOPEN））；Shanghai Artificial Intelligence Laboratory（上海人工智能实验室）
Social Catalysts, Not Moral Agents: The Illusion of Alignment in LLM Societies
Institute of Neuroscience, Chinese Academy of Sciences（中国科学院神经科学研究所）；School of Philosophy, Anhui University（安徽大学哲学学院）；Department of Psychology and Behavioral Sciences, Zhejiang University（浙江大学心理学与行为科学系）；Mental Health Education Center, North China Electric Power University（华北电力大学心理健康教育中心）
Emergence of agriculture in an artificial society of reinforcement learning agents
Flowers AI and CogSci lab, Inria, Université de Bordeaux（花朵人工智能与认知科学实验室，法国国家信息与自动化研究所，波尔多大学）；Department of Information and Communications Technologies, Universitat Pompeu Fabra（信息通信技术系，庞培法布拉大学）；Artificial Intelligence Research Institute, IIIA (CSIC)（人工智能研究所，IIIa（西班牙国家研究委员会））；BioTiC team (Inria, INSA Lyon, CITI, UR3720)（BioTiC团队（法国国家信息与自动化研究所，里昂国立应用科学学院，CITI））；Complex Systems Lab, Universitat Pompeu Fabra（复杂系统实验室，庞培法布拉大学）；Institució Catalana de Recerca i Estudis Avançats（加泰罗尼亚研究与高级研究学院）；Santa Fe Institute（圣塔菲研究所）
Exploring Silicon-Based Societies: An Early Study of the Moltbook Agent Community
1 Department of Electrical；Computer Engineering, University of Arizona 3 Department of Systems；Industrial Engineering, University of Arizona 5 School of Electrical Engineering；Computer Science, University of North Dakota 2 The Rock Ethics Institute \& The Leonhard Center for the Enhancement of Engineering Education, The Pennsylvania State University 4 Department of Industrial Engineering, University of Sonora 3 Telecommunication Laboratories, Chunghwa Telecom Co., Ltd. Corresponding Email
SimCRAFT: Distilling Remote Sensing Agents via Synthetic Trajectories and Contextual Retrieval-Augmented Fine-Tuning
Aerospace Information Research Institute, Chinese Academy of Sciences（中国科学院空天信息创新研究院）；University of Chinese Academy of Sciences（中国科学院大学）；The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））；Helmholtz-Zentrum Dresden-Rossendorf（德累斯顿-罗森多夫亥姆霍兹中心）
Silly rules improve the capacity of agents to learn stable enforcement and compliance behaviors
DeepMind（深度思维）；University of California Berkeley（加州大学伯克利分校）；Center for Human-Compatible AI（人类兼容人工智能中心）；Schwartz Reisman Institute for Technology and Society（施瓦茨·赖斯曼技术与社会研究所）；University of Toronto（多伦多大学）；Vector Institute（向量研究所）；OpenAI（开放人工智能研究中心）
