TY - JOUR AU - Blyth, Shannon AU - Hamilton, Howard PY - 2021/09/29 Y2 - 2024/03/29 TI - CrowdMixer: Multiple Agent Types in Situation-Based Crowd Simulations JF - Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment JA - AIIDE VL - 2 IS - 1 SE - Full Papers DO - 10.1609/aiide.v2i1.18741 UR - https://ojs.aaai.org/index.php/AIIDE/article/view/18741 SP - 15-20 AB - <p>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. </p> ER -