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Comp-HuSim (Complex Human Simulations) is a multi-agent persona simulation platform powered by generative AI models (GPT-3.5 turbo, GPT 4 turbo, and Mixtral(8×7B)). Each Comp-HuSim generative agent is created with random variables such as age, gender identity, economic status, Big-5 personality characteristics, geographic location, etc. Agents are then imbued with backstory memories, textured histories, diverse hobbies and interests, and a series of distinct attributes. In early experiments our agents engage in conversation with one another, reflect on their past experiences, and play games together in surprisingly sophisticated ways. Complex forms of human-like behaviors become visible in the Comp-HuSim project demonstration, demonstrating our approach's promise for applications in Virtual Assistants, Conversational Interactions, and Personalized Human-Robot Interaction.
Fan et al. (Thu,) studied this question.