Humanoid Agents: Platform for Simulating Human-like Generative Agents
Zhilin Wang Yu Ying Chiu Yu Cheung Chiu
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