Le Bi , Tingting Liu , Zhen Liu , Jason Teo , Yumeng Zhao , Yanjie Chai
{"title":"Modeling heterogeneous behaviors with different strategies in a terrorist attack","authors":"Le Bi , Tingting Liu , Zhen Liu , Jason Teo , Yumeng Zhao , Yanjie Chai","doi":"10.1016/j.vrih.2022.08.015","DOIUrl":null,"url":null,"abstract":"<div><p>In terrorist attack simulations, existing methods do not describe individual differences, which means different individuals will not have different behaviors. To address this problem, we propose a framework to model people’s heterogeneous behaviors in terrorist attack. For pedestrian, we construct an emotional model that takes into account its personality and visual perception. The emotional model is then combined with pedestrians' relationship networks to make the decision-making model. With the proposed decision-making model, pedestrian may have altruistic behaviors. For terrorist, a mapping model is developed to map its antisocial personality to its attacking strategy. The experiments show that the proposed algorithm can generate realistic heterogeneous behaviors that are consistent with existing psychological research findings.</p></div>","PeriodicalId":33538,"journal":{"name":"Virtual Reality Intelligent Hardware","volume":"5 4","pages":"Pages 351-365"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Virtual Reality Intelligent Hardware","FirstCategoryId":"1093","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2096579622000900","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 0
Abstract
In terrorist attack simulations, existing methods do not describe individual differences, which means different individuals will not have different behaviors. To address this problem, we propose a framework to model people’s heterogeneous behaviors in terrorist attack. For pedestrian, we construct an emotional model that takes into account its personality and visual perception. The emotional model is then combined with pedestrians' relationship networks to make the decision-making model. With the proposed decision-making model, pedestrian may have altruistic behaviors. For terrorist, a mapping model is developed to map its antisocial personality to its attacking strategy. The experiments show that the proposed algorithm can generate realistic heterogeneous behaviors that are consistent with existing psychological research findings.