{"title":"Embedding of event processing into multi-agent systems decision mechanism","authors":"I. Cobeanu, V. Comnac","doi":"10.1109/SACI.2011.5872981","DOIUrl":null,"url":null,"abstract":"The agent's decision mechanism should take into account only the events which can influence the agent's decision. That is way it is necessary to embed the event processing technology into multi-agent systems decision mechanism. From the stimuli received by the agent, there are selected only the ones which can influence their behaviour and based on this information the complex event processing module gives as output complex events. These complex events result from a series of operations like grouping, aggregation, sorting, filtering, merging, splitting or duplication of events. To study the CEP performance embedded into multi-agent systems decision mechanism the method presented in this paper is applied in a traffic control application.","PeriodicalId":334381,"journal":{"name":"2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SACI.2011.5872981","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 agent's decision mechanism should take into account only the events which can influence the agent's decision. That is way it is necessary to embed the event processing technology into multi-agent systems decision mechanism. From the stimuli received by the agent, there are selected only the ones which can influence their behaviour and based on this information the complex event processing module gives as output complex events. These complex events result from a series of operations like grouping, aggregation, sorting, filtering, merging, splitting or duplication of events. To study the CEP performance embedded into multi-agent systems decision mechanism the method presented in this paper is applied in a traffic control application.