Mind & Society

, Volume 7, Issue 2, pp 157–166 | Cite as

Empirical modeling and information semantics

Original Article

Abstract

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.

Keywords

Modeling Information Semantics Validation and verification Veridicity Truthlikeness 

References

  1. Barwise J, Perry J (1983) Situations and attitudes. MIT, CambridgeGoogle Scholar
  2. Bateson G (1973) Steps to an ecology of mind, Paladin. Frogmore, St AlbansGoogle Scholar
  3. Capurro R, Hjørland B (2003) The concept of information In: Annual Review of Information Science and Technology (ARIST) (ed) Blaise Cronin, Information Today, MedfordGoogle Scholar
  4. Capurro R, Fleissner P, Hofkirchner W (1999) Is a unified theory of information feasible? A trialogue In: Hofkirchner W (ed) The quest for a unified theory of information. Proceedings of the second international conference on the foundations of information science, Gordon & Breach, New YorkGoogle Scholar
  5. Dodig-Crnkovic G (2003) Shifting the paradigm of the philosophy of science: the philosophy of information and a new renaissance, Mind Mach 13(4):521–536CrossRefGoogle Scholar
  6. Dodig-Crnkovic G (2006) Investigations into information semantics and ethics of computing, Mälardalen University Press, SwedenGoogle Scholar
  7. Floridi L (2004a) Information. In: Floridi L (ed) The Blackwell guide to the philosophy of computing and information. Blackwell, OxfordGoogle Scholar
  8. Floridi L (2004b) Outline of a theory of strongly semantic information. Mind Mach 14(2):197–222CrossRefGoogle Scholar
  9. Floridi L (2004c) Open problems in the philosophy of information, metaphilosophy, vol 35 issue 4Google Scholar
  10. Floridi L (2004d) Afterword—LIS as applied philosophy of information: a reappraisal. Libr Trends 52(3)Google Scholar
  11. Floridi L (2005) Is information meaningful data? Philos Phenomenol Res 70(2):351–370CrossRefGoogle Scholar
  12. Hendry RF, Psillos S (2004) How to do things with theories: an interactive view of language and models in science. In: Paprzycka K, Przybysz P (eds) Idealization and concretization. Rodopi, AmsterdamGoogle Scholar
  13. Kuipers TAF (1987) ed What is closer-to-the-truth? A parade of approaches to truthlikeness, Poznan Studies in the philosophy of the sciences and the humanities, vol 10. Rodopi, AmsterdamGoogle Scholar
  14. Kuipers TAF (2000) From instrumentalism to constructive realism: on some relations between confirmation, empirical progress, and truth approximation. Kluwer, DordrechtGoogle Scholar
  15. Kuipers TAF (2002) Inductive aspects of confirmation, information, and content, to appear in the Schilpp-volume The Philosophy of Jaakko HintikkaGoogle Scholar
  16. MacKay DM (1969) Information, mechanism and meaning. MIT, CambridgeGoogle Scholar
  17. Magnani L, Nersessian NJ, Thagard P (1999) (eds) Model-based reasoning. Scientific discovery. Kluwer, New YorkGoogle Scholar
  18. Marijuan PC (2003) Foundations of information science: selected papers from FIS 2002. Entropy 5:214–219CrossRefGoogle Scholar
  19. Marijuán PC (2004) Information and life: towards a biological understanding of informational phenomena, TripleC 2(1): 6–19, ISSN 1726-670X, http://www.tripleC.uti.at
  20. Oddie G (2001) Truthlikeness, The Stanford Encyclopedia of Philosophy. In: Zalta EN (ed) http://www.plato.stanford.edu/archives/fall2001/entries/truthlikeness/
  21. Stonier T (1997) Information and meaning. An evolutionary perspective. Springer, HeidelbergGoogle Scholar
  22. Wildberger AM (2000) AI & simulation. Simulation, 74Google Scholar
  23. Ören TI (2001) Impact of data on simulation: from early practices to federated and agent-directed simulations. In: A. Heemink et al (eds) Proceedings of EUROSIM 2001, Delft, 26–29 June 2001Google Scholar
  24. Zurek WH (1994) Decoherence and the existential interpretation of quantum theory. In: Grassberger P, Nadal J-P (eds) From statistical physics to statistical inference and back. Plenum, Dordrecht pp 341–350Google Scholar

Copyright information

© Fondazione Rosselli 2007

Authors and Affiliations

  1. 1.Department of Computer Science and ElectronicsMälardalen UniversityVasterasSweden

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