Social learning plays an important role in the development of human intelligence. As children, we imitate our parents' speech patterns until we are able to produce sounds; we learn from them praising us and scolding us; and as adults, we learn by working with others. In this work, we survey the degree to which this paradigm -- social learning -- has been mirrored in machine learning. In particular, since learning socially requires interacting with others, we are interested in how embodied agents can and have utilised these techniques. This is especially in light of the degree to which recent advances in natural language processing (NLP) enable us to perform new forms of social learning. We look at how behavioural cloning and next-token prediction mirror human imitation, how learning from human feedback mirrors human education, and how we can go further to enable fully communicative agents that learn from each other. We find that while individual social learning techniques have been used successfully, there has been little unifying work showing how to bring them together into socially embodied agents.
SocialAI 0.1: Towards a Benchmark to Stimulate Research on Socio-Cognitive Abilities in Deep Reinforcement Learning Agents
Inria（法国国家信息与自动化研究所）；Microsoft Research（微软研究院）
构建能够参与与人类的社会互动的嵌入式自主智能体是人工智能的主要挑战之一。这个问题激发了许多关于具身语言使用的研究方向。目前的方法集中在语言作为一种沟通工具，在非常简单和非多样化的社会情况下：语言的“自然性”被降低到高词汇量和可变性的概念。在本文中，我们认为，要实现人类水平的人工智能，需要更广泛的关键社交技能：1）在复杂多变的社会环境中使用语言; 2）在不断发展的社会世界中，在多模态环境中进行复杂的具体沟通。在这项工作中，我们解释了认知科学的概念如何帮助人工智能绘制通往类人智能的路线图，重点是其社会维度。然后，我们研究了最近SOTA Deep RL方法在即将推出的SocialAI的第一个网格世界环境中进行测试时的局限性，SocialAI是评估Deep RL代理社交技能的基准。视频和代码可在https://sites.google.com/view/socialai01上获得。
SocialGrid: A Benchmark for Planning and Social Reasoning in Embodied Multi-Agent Systems
Technical University of Darmstadt（达姆施塔特技术大学）；German Research Center for Artificial Intelligence（德国人工智能研究中心）；Lab1141（Lab1141实验室）；Centre for Cognitive Science, Darmstadt（达姆施塔特认知科学中心）
AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making
State Key Laboratory of General Artificial Intelligence, BIGAI（通用人工智能国家重点实验室，北京通用人工智能研究院）；Peking University（北京大学）；New York University（纽约大学）；Tsinghua University（清华大学）；University of Science and Technology of China（中国科学技术大学）
Multi-Agent, Human-Agent and Beyond: A Survey on Cooperation in Social Dilemmas
Northwestern Polytechnical University（西北工业大学）；Tsinghua University（清华大学）；University of Auckland（奥克兰大学）；Kyushu University（九州大学）；The Hong Kong Polytechnic University（香港理工大学）；Shanghai Artificial Intelligence Laboratory（上海人工智能实验室）
Infected Smallville: How Disease Threat Shapes Sociality in LLM Agents
Department of Psychology, University of Wisconsin-Madison（威斯康星大学麦迪逊分校心理学系）；Department of Electrical and Computer Engineering, University of Wisconsin-Madison（威斯康星大学麦迪逊分校电气与计算机工程系）；Department of Psychological Science, University of California, Irvine（加州大学伊文斯分校心理学科学系）；Department of Psychology, University of Michigan, Ann Arbor（密歇根大学安娜堡分校心理学系）
