Multiagent systems provide a basis for developing systems of autonomous entities and thus find application in a variety of domains. We consider a setting where not only the member agents are adaptive but also the multiagent system viewed as an entity in its own right is adaptive. Specifically, the social structure of a multiagent system can be reflected in the social norms among its members. It is well recognized that the norms that arise in society are not always beneficial to its members. We focus on prosocial norms, which help achieve positive outcomes for society and often provide guidance to agents to act in a manner that takes into account the welfare of others.
Specifically, we propose Cha, a framework for the emergence of prosocial norms. Unlike previous norm emergence approaches, Cha supports continual change to a system (agents may enter and leave) and dynamism (norms may change when the environment changes). Importantly, Cha agents incorporate prosocial decision making based on inequity aversion theory, reflecting an intuition of guilt arising from being antisocial. In this manner, Cha brings together two important themes in prosociality: decision making by individuals and fairness of system-level outcomes. We demonstrate via simulation that Cha can improve aggregate societal gains and fairness of outcomes.
Emergence of Theory of Mind Collaboration in Multiagent Systems
University of California, Los Angeles（加利福尼亚大学洛杉矶分校）
目前，在多智能体系统的研究中，往往忽略了智能体的意图。尽管如此，正如心理理论（Theory of Mind，ToM）所指出的，人们经常会对他人的心理状态进行推理，包括信念、目标和意图，以在竞争、合作或联盟中获得绩效优势。然而，由于其固有的递归性和难以建模的分布信念，集成ToM的多智能体规划和决策仍然是一个挑战。在本文中，我们将ToM在多智能体部分可观察马尔可夫决策过程（POMDP），并提出了一个自适应训练算法，开发有效的合作与ToM代理。我们用两个游戏来评估我们的算法，我们的算法超过了以前所有的分散执行算法，而没有对ToM进行建模。
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）
