CrowdMixer: Multiple Agent Types in Situation-Based Crowd Simulations
DOI:
https://doi.org/10.1609/aiide.v2i1.18741Abstract
This paper presents a scalable approach to crowd simulation that can generate complex and varied simulations by using multiple types of individuals in a crowd. Efficiency is attained by using a situation-based approach where an individual agent adopts behaviors according to its situation, which corresponds to a subspace of the universe.
Downloads
Published
2021-09-29
How to Cite
Blyth, S., & Hamilton, H. (2021). CrowdMixer: Multiple Agent Types in Situation-Based Crowd Simulations. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2(1), 15-20. https://doi.org/10.1609/aiide.v2i1.18741
Issue
Section
Full Papers