{"title":"基于agent的独特机械系统建模方法研究","authors":"O. Nikolaychuk, A. Pavlov, A. Stolbov","doi":"10.2991/itids-19.2019.36","DOIUrl":null,"url":null,"abstract":"The article discusses the MDD related agentbased modeling method that provides a four-level representation of the model elements throughout the design process. In the proposed method it is suggested to separate the description of the agent-based simulation model (ABSM) structure and behavior into domain independent and domainspecific parts. It means that there are no predefined structures of ABSM and the experts with appropriate knowledge and skills for some specific problem areas can create them. The application of the proposed method for contingency management in critical infrastructures is shown on the illustrative example that describes ABSM development process for solving problems of the unique mechanical systems states identification and forecasting. Keywords—Agent-Based Modeling, Model-Driven Development, Knowledge-Based System","PeriodicalId":63242,"journal":{"name":"科学决策","volume":"67 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"The Agent-Based Modeling Method For The Study Of Unique Mechanical Systems\",\"authors\":\"O. Nikolaychuk, A. Pavlov, A. Stolbov\",\"doi\":\"10.2991/itids-19.2019.36\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article discusses the MDD related agentbased modeling method that provides a four-level representation of the model elements throughout the design process. In the proposed method it is suggested to separate the description of the agent-based simulation model (ABSM) structure and behavior into domain independent and domainspecific parts. It means that there are no predefined structures of ABSM and the experts with appropriate knowledge and skills for some specific problem areas can create them. The application of the proposed method for contingency management in critical infrastructures is shown on the illustrative example that describes ABSM development process for solving problems of the unique mechanical systems states identification and forecasting. Keywords—Agent-Based Modeling, Model-Driven Development, Knowledge-Based System\",\"PeriodicalId\":63242,\"journal\":{\"name\":\"科学决策\",\"volume\":\"67 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"科学决策\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.2991/itids-19.2019.36\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"科学决策","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.2991/itids-19.2019.36","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Agent-Based Modeling Method For The Study Of Unique Mechanical Systems
The article discusses the MDD related agentbased modeling method that provides a four-level representation of the model elements throughout the design process. In the proposed method it is suggested to separate the description of the agent-based simulation model (ABSM) structure and behavior into domain independent and domainspecific parts. It means that there are no predefined structures of ABSM and the experts with appropriate knowledge and skills for some specific problem areas can create them. The application of the proposed method for contingency management in critical infrastructures is shown on the illustrative example that describes ABSM development process for solving problems of the unique mechanical systems states identification and forecasting. Keywords—Agent-Based Modeling, Model-Driven Development, Knowledge-Based System