{"title":"From Systems to Plectics: the Challenge of Systemic Inquiry in Measurement, Modelling and Pedagogy","authors":"B. Pátkai, I. Rudas, J. Tar","doi":"10.1109/ICCCYB.2006.305742","DOIUrl":null,"url":null,"abstract":"This paper briefly reviews some of the most prominent systems theories from the 20th century and supports the arguments of Murray Gell-Mann who proposed the use of \"plectics\" instead of the overused and ambiguous \"systems science\" and \"systems theories\" terms. It is claimed that measurement of complex systems is essentially a modeling task as the boundaries between the specific steps of the scientific method are necessarily blurred. A critical and extended interpretation of the scientific method, systems modeling and addressing the difficulty of teaching systems science-related disciplines completes the arguments for an integrated, truly systemic view of this field.","PeriodicalId":160588,"journal":{"name":"2006 IEEE International Conference on Computational Cybernetics","volume":"460 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE International Conference on Computational Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCYB.2006.305742","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper briefly reviews some of the most prominent systems theories from the 20th century and supports the arguments of Murray Gell-Mann who proposed the use of "plectics" instead of the overused and ambiguous "systems science" and "systems theories" terms. It is claimed that measurement of complex systems is essentially a modeling task as the boundaries between the specific steps of the scientific method are necessarily blurred. A critical and extended interpretation of the scientific method, systems modeling and addressing the difficulty of teaching systems science-related disciplines completes the arguments for an integrated, truly systemic view of this field.