Designing agents that accurately simulate human behavior and social interactions

Develop autonomous agents capable of simulating realistic and comprehensive human behavior and social interactions within world models to support faithful social simulation and analysis.

Background

The survey argues that world models must incorporate not only physical dynamics but also social dimensions to be useful in many real-world scenarios, such as urban environments and social computing systems. While LLM-based agents provide new opportunities to simulate human-like behaviors, achieving realism and comprehensive coverage of social interactions remains challenging.

In discussing future directions, the authors explicitly identify the design of autonomous agents that can authentically replicate human behavior and social interactions as an unresolved issue, highlighting the current limitations of agentic workflows and the need for more principled approaches informed by theories of human behavior and cognition.