L. Ptitsyna, Anastasia O. Zharanova, Nikita A. Ptitsyn, M. P. Belov
{"title":"Extended Object-Oriented Modeling of Intelligent Information Agent Planners","authors":"L. Ptitsyna, Anastasia O. Zharanova, Nikita A. Ptitsyn, M. P. Belov","doi":"10.1109/scm55405.2022.9794872","DOIUrl":null,"url":null,"abstract":"The development of artificial intelligence systems for information infrastructures is updated. The purpose of model-analytical intelligence of software information agents is described. Process approach to modeling of intelligent information agent planners is proposed. A family of extended object-oriented models of planners is presented. A method for generating knowledge about the quality profiles of planners is defined. The results of analytical modeling of intelligent information agent planners are presented and analyzed.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/scm55405.2022.9794872","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The development of artificial intelligence systems for information infrastructures is updated. The purpose of model-analytical intelligence of software information agents is described. Process approach to modeling of intelligent information agent planners is proposed. A family of extended object-oriented models of planners is presented. A method for generating knowledge about the quality profiles of planners is defined. The results of analytical modeling of intelligent information agent planners are presented and analyzed.