Just as computational simulations of atoms, molecules and cells have shaped the way we study the sciences, true-to-life simulations of human-like agents can be valuable tools for studying human behavior. We propose Humanoid Agents, a system that guides Generative Agents to behave more like humans by introducing three elements of System 1 processing: Basic needs (e.g. hunger, health and energy), Emotion and Closeness in Relationships. Humanoid Agents are able to use these dynamic elements to adapt their daily activities and conversations with other agents, as supported with empirical experiments. Our system is designed to be extensible to various settings, three of which we demonstrate, as well as to other elements influencing human behavior (e.g. empathy, moral values and cultural background). Our platform also includes a Unity WebGL game interface for visualization and an interactive analytics dashboard to show agent statuses over time. Our platform is available on https://www.humanoidagents.com/ and code is on https://github.com/HumanoidAgents/HumanoidAgents

翻译：正如原子、分子和细胞的计算模拟塑造了科学研究的方式，逼真的类人智能体模拟也可成为研究人类行为的宝贵工具。我们提出“类人智能体”（Humanoid Agents）系统，通过引入系统1处理的三个要素——基本需求（如饥饿、健康和能量）、情感及关系亲密度——来引导生成式智能体表现得更加类人。经验实验表明，类人智能体能够利用这些动态要素调整其日常活动及与其他智能体的对话。我们的系统设计为可扩展至多种场景（本文展示了其中三种），以及影响人类行为的其他要素（如同理心、道德价值观和文化背景）。该平台还包括用于可视化的Unity WebGL游戏界面，以及用于展示智能体随时间变化状态的交互式分析仪表板。平台可通过https://www.humanoidagents.com/ 访问，代码见https://github.com/HumanoidAgents/HumanoidAgents。