CrowdMixer: Multiple Agent Types in Situation-Based Crowd Simulations

Authors

  • Shannon Blyth University of Regina
  • Howard J. Hamilton University of Regina

DOI:

https://doi.org/10.1609/aiide.v2i1.18741

Abstract

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.

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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

Vol. 2 No. 1 (2006): Second Artificial Intelligence and Interactive Digital Entertainment Conference

Section

Full Papers