Original Article

Mind & Society

, Volume 7, Issue 2, pp 157-166

First online:

Empirical modeling and information semantics

  • Gordana Dodig-CrnkovicAffiliated withDepartment of Computer Science and Electronics, Mälardalen University Email author 

Rent the article at a discount

Rent now

* Final gross prices may vary according to local VAT.

Get Access


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.


Modeling Information Semantics Validation and verification Veridicity Truthlikeness