Generative Agents: Interactive Simulacra of Human Behavior | Data Science by ODS.ai 🦜
Generative Agents: Interactive Simulacra of Human Behavior
Imagine a world where computational software agents can simulate believable human behavior, empowering a wide range of interactive applications from immersive environments to rehearsal spaces for interpersonal communication and prototyping tools. This paper introduces "generative agents," a groundbreaking concept where agents perform daily routines, engage in creative activities, form opinions, interact with others, and remember and reflect on their experiences as they plan their next day.
To bring generative agents to life, the authors propose an innovative architecture that extends a large language model, allowing agents to store and reflect on their experiences using natural language and dynamically plan their behavior. They showcase the potential of generative agents in an interactive sandbox environment inspired by The Sims, where users can engage with a small town of 25 agents using natural language. The evaluation highlights the agents' ability to autonomously create and navigate complex social situations, producing believable individual and emergent social behaviors. This groundbreaking work demonstrates the critical contributions of observation, planning, and reflection components in agent architecture, laying the foundation for more realistic simulations of human behavior and unlocking exciting possibilities across various applications.
Paper link: https://arxiv.org/abs/2304.03442
Demo link: https://reverie.herokuapp.com/arXiv_Demo/#
A detailed unofficial overview of the paper: https://andlukyane.com/blog/paper-review-ishb
#deeplearning #nlp #generative # simulation
