{"title":"Adaptive behavior for cooperation: a virtual reality application","authors":"C. Sanza, C. Panatier, H. Luga, Y. Duthen","doi":"10.1109/ROMAN.1999.900318","DOIUrl":null,"url":null,"abstract":"We present a behavioral system based on artificial life for animating actors in a virtual reality application. Through a virtual soccer game, we show how a set of autonomous players (called agents) can cooperate and communicate to perform common tasks. The user is immersed in the game. He/she interacts with the other agents and is integrated in the cooperation and communication systems. Every entity reads in real-time by using a classifiers system which is composed of a set of binary rules and a reward system. The originality of such method is the ability to build a behavior (by emergence) without initial knowledge. The analysis of the simulation gives interesting results: after convergence, the global behavior of the teams produces coherent movements. Moreover, the introduction of disturbances does not affect the performances of the classifiers system.","PeriodicalId":200240,"journal":{"name":"8th IEEE International Workshop on Robot and Human Interaction. RO-MAN '99 (Cat. No.99TH8483)","volume":"76 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"8th IEEE International Workshop on Robot and Human Interaction. RO-MAN '99 (Cat. No.99TH8483)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROMAN.1999.900318","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
We present a behavioral system based on artificial life for animating actors in a virtual reality application. Through a virtual soccer game, we show how a set of autonomous players (called agents) can cooperate and communicate to perform common tasks. The user is immersed in the game. He/she interacts with the other agents and is integrated in the cooperation and communication systems. Every entity reads in real-time by using a classifiers system which is composed of a set of binary rules and a reward system. The originality of such method is the ability to build a behavior (by emergence) without initial knowledge. The analysis of the simulation gives interesting results: after convergence, the global behavior of the teams produces coherent movements. Moreover, the introduction of disturbances does not affect the performances of the classifiers system.