{"title":"面向分布式虚拟环境的计算机生成智能同伴","authors":"Mark Edwards, E. Santos, S. Banks, M. Stytz","doi":"10.1109/TAI.1996.560779","DOIUrl":null,"url":null,"abstract":"The employment of computer generated forces (CGFs) within distributed virtual environments (DVEs) dramatically increases the number of entities in a simulated training environment. However, current CGF limitations produce behaviours that can be defeated using methods ineffective against humans. Our research focuses on developing aircraft CGFs. It is necessary to deal with uncertainty, ambiguity, and approximation. The Fuzzy Wingman (FW) relies on fuzzy logic to provide these abilities. In this manner, the FW presents a reasonable approach to effectively populating the simulated training environment with low cost CGFs while maintaining the realism of training with human controlled entities.","PeriodicalId":209171,"journal":{"name":"Proceedings Eighth IEEE International Conference on Tools with Artificial Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Computer generated intelligent companions for distributed virtual environments\",\"authors\":\"Mark Edwards, E. Santos, S. Banks, M. Stytz\",\"doi\":\"10.1109/TAI.1996.560779\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The employment of computer generated forces (CGFs) within distributed virtual environments (DVEs) dramatically increases the number of entities in a simulated training environment. However, current CGF limitations produce behaviours that can be defeated using methods ineffective against humans. Our research focuses on developing aircraft CGFs. It is necessary to deal with uncertainty, ambiguity, and approximation. The Fuzzy Wingman (FW) relies on fuzzy logic to provide these abilities. In this manner, the FW presents a reasonable approach to effectively populating the simulated training environment with low cost CGFs while maintaining the realism of training with human controlled entities.\",\"PeriodicalId\":209171,\"journal\":{\"name\":\"Proceedings Eighth IEEE International Conference on Tools with Artificial Intelligence\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-11-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Eighth IEEE International Conference on Tools with Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TAI.1996.560779\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Eighth IEEE International Conference on Tools with Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAI.1996.560779","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Computer generated intelligent companions for distributed virtual environments
The employment of computer generated forces (CGFs) within distributed virtual environments (DVEs) dramatically increases the number of entities in a simulated training environment. However, current CGF limitations produce behaviours that can be defeated using methods ineffective against humans. Our research focuses on developing aircraft CGFs. It is necessary to deal with uncertainty, ambiguity, and approximation. The Fuzzy Wingman (FW) relies on fuzzy logic to provide these abilities. In this manner, the FW presents a reasonable approach to effectively populating the simulated training environment with low cost CGFs while maintaining the realism of training with human controlled entities.