A. Paraense, Ricardo Ribeiro Gudwin, R. de Almeida Goncalves
{"title":"Brainmerge: a Semiotic-Oriented Software Development Process for Intelligence Augmentation Systems","authors":"A. Paraense, Ricardo Ribeiro Gudwin, R. de Almeida Goncalves","doi":"10.1109/KIMAS.2007.369819","DOIUrl":null,"url":null,"abstract":"In this paper we present \"Brainmerge\", a software development process designed according to semiotic principles in order to coordinate the steps required for the requirements specification, analysis and design of a special kind of intelligent system, which is usually described as intelligence augmentation systems (IAS). IAS represent an extension of decision support systems (DSS) with the use of AI techniques and usually dynamic decision making processes. Traditional software methodologies are usually inefficient when dealing with IAS, and our methodology aim at fulfilling these shortcomings. To illustrate the methodology we describe a real application in planning the circulation of trains in a single track railroad","PeriodicalId":193808,"journal":{"name":"2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KIMAS.2007.369819","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper we present "Brainmerge", a software development process designed according to semiotic principles in order to coordinate the steps required for the requirements specification, analysis and design of a special kind of intelligent system, which is usually described as intelligence augmentation systems (IAS). IAS represent an extension of decision support systems (DSS) with the use of AI techniques and usually dynamic decision making processes. Traditional software methodologies are usually inefficient when dealing with IAS, and our methodology aim at fulfilling these shortcomings. To illustrate the methodology we describe a real application in planning the circulation of trains in a single track railroad