{"title":"基于lbm的混合仿真中介体框架","authors":"Mei Yang, Yong Peng, Shan Mei, Rusheng Ju","doi":"10.1145/3274250.3275112","DOIUrl":null,"url":null,"abstract":"This paper presents a Mediate-based ABS framework for a multi-agent hybrid simulation in which agents are modeled based on a \"sense-think-lookahead-act\" paradigm. This design draws out some general functions as mediators from the lookahead process, and coordinates the interactions between agents and discrete event simulation engine. The mediators are organized as Sense mediator, Move mediator and Engagement mediator in accordance with the major types of actions in military simulation. With the MABSF, an lookahead behavior model can be built much more easily.","PeriodicalId":410500,"journal":{"name":"Proceedings of the 2018 1st International Conference on Mathematics and Statistics","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A LBM-based Mediator Framework for Hybrid Simulation\",\"authors\":\"Mei Yang, Yong Peng, Shan Mei, Rusheng Ju\",\"doi\":\"10.1145/3274250.3275112\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a Mediate-based ABS framework for a multi-agent hybrid simulation in which agents are modeled based on a \\\"sense-think-lookahead-act\\\" paradigm. This design draws out some general functions as mediators from the lookahead process, and coordinates the interactions between agents and discrete event simulation engine. The mediators are organized as Sense mediator, Move mediator and Engagement mediator in accordance with the major types of actions in military simulation. With the MABSF, an lookahead behavior model can be built much more easily.\",\"PeriodicalId\":410500,\"journal\":{\"name\":\"Proceedings of the 2018 1st International Conference on Mathematics and Statistics\",\"volume\":\"63 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2018 1st International Conference on Mathematics and Statistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3274250.3275112\",\"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 of the 2018 1st International Conference on Mathematics and Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3274250.3275112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A LBM-based Mediator Framework for Hybrid Simulation
This paper presents a Mediate-based ABS framework for a multi-agent hybrid simulation in which agents are modeled based on a "sense-think-lookahead-act" paradigm. This design draws out some general functions as mediators from the lookahead process, and coordinates the interactions between agents and discrete event simulation engine. The mediators are organized as Sense mediator, Move mediator and Engagement mediator in accordance with the major types of actions in military simulation. With the MABSF, an lookahead behavior model can be built much more easily.