A method for testing the feasibility of 3D map design based on multi-agent AI-driven

As one of the most cutting-edge technologies of graphics and multimedia, the core of the three-dimensional map is the spatial layout design of the virtual world. The three-dimensional digital map has significant spatial design significance. It uses a method consistent with geographic theory to integrate the real and the fiction and attach it to various applications such as factory layout, workshop layout, production line planning, and so on. Therefore, the three-dimensional digital map as the spatial background of production and operation to carry various resources is an important part of digital design. Among them, ensuring that the virtual avatar representing a real person can move in an open and feasible space and reach the expected endpoint is an important content of three-dimensional map path planning. To solve the problem of 3D map design level testing, this paper proposes an automated testing method driven by ai multi-agents, which simulates three typical human behaviors and conducts automatic, fast, and comprehensive testing of 3D maps to evaluate the level of 3D map design.