P. Lacko, Miroslav Ort, Michal Kyznansky, Adrian Kollar, Filip Pakan, M. Osvat, Jana Branisová
{"title":"城市地区的暴乱模拟","authors":"P. Lacko, Miroslav Ort, Michal Kyznansky, Adrian Kollar, Filip Pakan, M. Osvat, Jana Branisová","doi":"10.1109/CINTI.2013.6705246","DOIUrl":null,"url":null,"abstract":"Simulation of human behavior in various situations is nowadays heavily used in miscellaneous research fields (e.g. emergency exits design, psychology, riot or humanitarian help simulation). The Holy Grail is to identify key elements of human beings that drive our behavior and be able to sufficiently simulate them and replicate in artificial computer environment. This work is focused on riot simulation in city conditions with multiple defense components. Behavior of agents/protesters is driven by PECS (Physical Conditions, Emotional State, Cognitive Capabilities and Social Status) psychological model and movement is adjusted by sophisticated collision avoidance system RVO2 (Reciprocal Collision Avoidance for RealTime Multi-Agent Simulation). Created simulation proposes several scenarios that resemble real demonstrations and can be parameterized for further studies.","PeriodicalId":439949,"journal":{"name":"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Riot simulation in urban areas\",\"authors\":\"P. Lacko, Miroslav Ort, Michal Kyznansky, Adrian Kollar, Filip Pakan, M. Osvat, Jana Branisová\",\"doi\":\"10.1109/CINTI.2013.6705246\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Simulation of human behavior in various situations is nowadays heavily used in miscellaneous research fields (e.g. emergency exits design, psychology, riot or humanitarian help simulation). The Holy Grail is to identify key elements of human beings that drive our behavior and be able to sufficiently simulate them and replicate in artificial computer environment. This work is focused on riot simulation in city conditions with multiple defense components. Behavior of agents/protesters is driven by PECS (Physical Conditions, Emotional State, Cognitive Capabilities and Social Status) psychological model and movement is adjusted by sophisticated collision avoidance system RVO2 (Reciprocal Collision Avoidance for RealTime Multi-Agent Simulation). Created simulation proposes several scenarios that resemble real demonstrations and can be parameterized for further studies.\",\"PeriodicalId\":439949,\"journal\":{\"name\":\"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CINTI.2013.6705246\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CINTI.2013.6705246","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
摘要
在各种情况下的人类行为模拟如今被大量用于各种研究领域(例如紧急出口设计,心理学,暴乱或人道主义援助模拟)。“圣杯”是找出驱动人类行为的关键因素,并能够充分模拟它们,并在人工计算机环境中进行复制。这项工作的重点是在具有多个防御组件的城市条件下进行暴乱模拟。主体/抗议者的行为由PECS (Physical Conditions, Emotional State, Cognitive Capabilities and Social Status)心理模型驱动,运动由复杂的碰撞避免系统RVO2 (Reciprocal collision avoidance for RealTime Multi-Agent Simulation)调节。创建的模拟提出了几个类似于真实演示的场景,可以参数化以供进一步研究。
Simulation of human behavior in various situations is nowadays heavily used in miscellaneous research fields (e.g. emergency exits design, psychology, riot or humanitarian help simulation). The Holy Grail is to identify key elements of human beings that drive our behavior and be able to sufficiently simulate them and replicate in artificial computer environment. This work is focused on riot simulation in city conditions with multiple defense components. Behavior of agents/protesters is driven by PECS (Physical Conditions, Emotional State, Cognitive Capabilities and Social Status) psychological model and movement is adjusted by sophisticated collision avoidance system RVO2 (Reciprocal Collision Avoidance for RealTime Multi-Agent Simulation). Created simulation proposes several scenarios that resemble real demonstrations and can be parameterized for further studies.