Humanoid Agents: Platform for Simulating Human-like Generative Agents

TL;DR

Humanoid Agents is a simulation platform that models human-like behavior in agents by incorporating needs, emotions, and relationships, enabling more realistic interactions for research and visualization.

Contribution

The paper introduces a novel system that integrates elements of human cognition into generative agents, enhancing their realism and adaptability in various simulated environments.

Findings

Agents exhibit more human-like behavior with dynamic needs and emotions.

The platform supports multiple settings and can incorporate additional human factors.

Empirical experiments demonstrate improved realism in agent interactions.

Abstract

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