most citedEnhancing Building Safety Design for Active Shooter Incidents: Exploration of Building Exit Parameters using Reinforcement Learning-Based Simulations

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CL2025

Implicit Behavioral Alignment of Language Agents in High-Stakes Crowd Simulations

Yunzhe Wang, Gale M. Lucas, Burcin Becerik-Gerber +1

Language-driven generative agents have enabled large-scale social simulations with transformative uses, from interpersonal training to aiding global policy-making. However, recent…

cs.CY2025

Investigating Role of Personal Factors in Shaping Responses to Active Shooter Incident using Machine Learning

Ruying Liu, Burçin Becerik-Gerber, Gale M. Lucas

This study bridges the knowledge gap on how personal factors affect building occupants' responses in active shooter situations by applying interpretable machine learning methods to…

cs.AI2024★ 1 cited

Enhancing Building Safety Design for Active Shooter Incidents: Exploration of Building Exit Parameters using Reinforcement Learning-Based Simulations

Ruying Liu, Wanjing Wu, Burcin Becerik-Gerber +1

With the alarming rise in active shooter incidents (ASIs) in the United States, enhancing public safety through building design has become a pressing need. This study proposes a re…