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Empirical Modeling and Information Semantics
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0001-9881-400X
2008 (English)In: Mind & Society, ISSN 1593-7879, Vol. 7, no 2, p. 157-166Article in journal (Refereed) Published
Abstract [en]

This paper investigates the relationship between reality and model, information and truth. It will argue that meaningful data need not be true in order to constitute information. Information to which truth-value cannot be ascribed, partially true information or even false information can lead to an interesting outcome such as technological innovation or scientific breakthrough. In the research process, during the transition between two theoretical frameworks, there is a dynamic mixture of old and new concepts in which truth is not well defined. Instead of veridicity, correctness of a model and its appropriateness within a context are commonly required. Despite empirical models being in general only truthlike, they are nevertheless capable of producing results from which conclusions can be drawn and adequate decisions made.

Place, publisher, year, edition, pages
2008. Vol. 7, no 2, p. 157-166
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-7045DOI: 10.1007/s11299-007-0035-5Scopus ID: 2-s2.0-57049174006OAI: oai:DiVA.org:mdh-7045DiVA, id: diva2:237055
Available from: 2009-09-25 Created: 2009-09-25 Last updated: 2015-11-19Bibliographically approved

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Dodig-Crnkovic, Gordana

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