Erkenntnis

, Volume 74, Issue 2, pp 147–175 | Cite as

Semantic Information and the Correctness Theory of Truth

Original Article

Abstract

Semantic information is usually supposed to satisfy the veridicality thesis: p qualifies as semantic information only if p is true. However, what it means for semantic information to be true is often left implicit, with correspondentist interpretations representing the most popular, default option. The article develops an alternative approach, namely a correctness theory of truth (CTT) for semantic information. This is meant as a contribution not only to the philosophy of information but also to the philosophical debate on the nature of truth. After the introduction, in Sect. 2, semantic information is shown to be translatable into propositional semantic information (i). In Sect. 3, i is polarised into a query (Q) and a result (R), qualified by a specific context, a level of abstraction and a purpose. This polarization is normalised in Sect. 4, where [Q + R] is transformed into a Boolean question and its relative yes/no answer [Q + A]. This completes the reduction of the truth of i to the correctness of A. In Sects. 5 and 6, it is argued that (1) A is the correct answer to Q if and only if (2) A correctly saturates Q by verifying and validating it (in the computer science’s sense of “verification” and “validation”); that (2) is the case if and only if (3) [Q + A] generates an adequate model (m) of the relevant system (s) identified by Q; that (3) is the case if and only if (4) m is a proxy of s (in the computer science’s sense of “proxy”) and (5) proximal access to m commutes with the distal access to s (in the category theory’s sense of “commutation”); and that (5) is the case if and only if (6) reading/writing (accessing, in the computer science’s technical sense of the term) m enables one to read/write (access) s. Sect. 7 provides some further clarifications about CTT, in the light of semantic paradoxes. Section 8 draws a general conclusion about the nature of CTT as a theory for systems designers not just systems users. In the course of the article all technical expressions from computer science are explained.

References

  1. Austin, J. L. (1950). Truth. In J. O. Urmson & G. J. Warnock (Eds.), Philosophical papers (pp. 117–133). Oxford: Oxford University Press.Google Scholar
  2. Bar-Hillel, Y., & Carnap, R. (1953). An outline of a theory of semantic information. Reprinted (1964) In Y. Bar-Hillel (Ed.), Language and information: Selected essays on their theory and application (pp. 221–274). Reading, MA; London: Addison-Wesley.Google Scholar
  3. Barr, M., & Wells, C. (1999). Category theory for computing science (3rd ed.). Montreal: CRM Press.Google Scholar
  4. Barwise, J., & Seligman, J. (1997). Information flow: The logic of distributed systems. Cambridge: Cambridge University Press.Google Scholar
  5. Bremer, M., & Cohnitz, D. (2004). Information and information flow—An introduction. Frankfurt: Ontos Verlag.Google Scholar
  6. Chellas, B. F. (1980). Modal logic : An introduction. Cambridge: Cambridge University Press.Google Scholar
  7. Colburn, T. R. (2000a). Information, thought, and knowledge. In Proceedings of the world multiconference on systemics, cybernetics and informatics, pp. 467–471.Google Scholar
  8. Colburn, T. R. (2000b). Philosophy and computer science. Armonk, NY: M.E. Sharpe.Google Scholar
  9. Davison, A. C. (2003). Statistical models. Cambridge: Cambridge University Press.Google Scholar
  10. Devlin, K. J. (1991). Logic and information. Cambridge: Cambridge University Press.Google Scholar
  11. Dodig-Crnkovic, G. (2005). System modeling and information semantics. In J. Bubenko, O. Eriksson, H. Fernlund, & M. Lind (Eds.), Proceedings of the fifth promote IT conference, Borlänge, Sweden. Lund: Studentlitteratur.Google Scholar
  12. Dretske, F. I. (1981). Knowledge and the flow of information. Oxford: Blackwell.Google Scholar
  13. Dretske, F. I. (1988). Explaining behavior: Reasons in a world of causes. Cambridge, MA: MIT Press.Google Scholar
  14. Eilam, E. (2005). Reversing: Secrets of reverse engineering. Indianapolis, IN: Wiley.Google Scholar
  15. Engel, P. (2002). Truth. Chesham: Acumen.Google Scholar
  16. Fetzer, J. H. (2004). Information, misinformation, and disinformation. Minds and Machines, 14(2), 223–229.CrossRefGoogle Scholar
  17. Floridi, L. (2004a). Information. In L. Floridi (Ed.), The Blackwell guide to the philosophy of computing and information (pp. 40–61). Oxford: Blackwell.Google Scholar
  18. Floridi, L. (2004b). Open problems in the philosophy of information. Metaphilosophy, 35(4), 554–582.CrossRefGoogle Scholar
  19. Floridi, L. (2004c). Outline of a theory of strongly semantic information. Minds and Machines, 14(2), 197–222.CrossRefGoogle Scholar
  20. Floridi, L. (2005). Is information meaningful data? Philosophy and Phenomenological Research, 70(2), 351–370.CrossRefGoogle Scholar
  21. Floridi, L. (2006). The logic of being informed. Logique et Analyse, 49(196), 433–460.Google Scholar
  22. Floridi, L. (2007). In defence of the veridical nature of semantic information. The European Journal of Analytic Philosophy, 3(1), 1–18.Google Scholar
  23. Floridi, L. (2008a). Data. In W. A. Darity (Ed.), International encyclopedia of the social sciences. Detroit: Macmillan.Google Scholar
  24. Floridi, L. (2008b). The method of levels of abstraction. Minds and Machines, 18(3), 303–329.CrossRefGoogle Scholar
  25. Floridi, L. (2008c). Understanding epistemic relevance. Erkenntnis, 69(1), 69–92.CrossRefGoogle Scholar
  26. Floridi, L. (2010a). Information—A very short introduction. Oxford: Oxford University Press.Google Scholar
  27. Floridi, L. (2010b). The philosophy of information. Oxford: Oxford University Press.Google Scholar
  28. Floridi, L. (forthcoming). Semantic information and the network theory of account. Synthese.Google Scholar
  29. Floridi, L., & Sanders, J. W. (2005). Internet ethics: The constructionist values of homo poieticus. In R. Cavalier (Ed.), The impact of the internet on our moral lives. New York: SUNY.Google Scholar
  30. Formigari, L. (2004). A history of language philosophies. Amsterdam: John Benjamins Pub.Google Scholar
  31. Fox, C. J. (1983). Information and misinformation : An investigation of the notions of information, misinformation, informing, and misinforming. Westport, CT: Greenwood Press.Google Scholar
  32. Fox, C. J. (2007). Introduction to software engineering design. Boston, MA/London: Pearson/Addison Wesley.Google Scholar
  33. Freedman, D., Pisani, R., & Purves, R. (2007). Statistics (4th ed.). New York: W.W. Norton.Google Scholar
  34. Gabbay, D. M., Hogger, C. J., & Robinson, J. A. (1993). Handbook of logic in artificial intelligence and logic programming. Oxford: Clarendon Press.Google Scholar
  35. Gamma, E., Helm, R., Johnson, R., & Vlissides, J. (1995). Design patterns: Elements of reusable object-oriented software. Reading, MA: Addison-Wesley.Google Scholar
  36. Gelfond, M. (1987). On stratified autoepistemic theories. In Proceedings of national conference on artificial intelligence (AAAI), pp. 207–211.Google Scholar
  37. Grice, H. P. (1989). Studies in the way of words. Cambridge, MA: Harvard University Press.Google Scholar
  38. Groenendijk, J., & Stokhof, M. (1994). Questions. In J. Van Benthem & A. Ter Meulen (Eds.), Handbook of logic and language. North-Holland: Elsevier Science.Google Scholar
  39. Israel, D., & Perry, J. (1990). What is information? In P. P. Hanson (Ed.), Information, language, and cognition (pp. 1–28). Vancouver: University of British Columbia Press.Google Scholar
  40. Künne, W. (2003). Conceptions of truth. Oxford: Clarendon Press.CrossRefGoogle Scholar
  41. Landini, G. (2007). Wittgenstein’s apprenticeship with Russell. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
  42. Luotonen, A. (1998). Web proxy servers. Upper Saddle River, NJ: Prentice Hall PTR.Google Scholar
  43. Lynch, M. P. (2001). The nature of truth: Classic and contemporary perspectives. Cambridge, MA: MIT Press.Google Scholar
  44. Nerode, A., & Shore, R. A. (1997). Logic for applications (2nd ed.). New York: Springer.Google Scholar
  45. Popper, K. R. (1935). Logik Der Forschung : Zur Erkenntnistheorie Der Modernen Naturwissenschaft. Wien: Springer.Google Scholar
  46. Sequoiah-Grayson, S. (2007). The metaphilosophy of information. Minds and Machines, 17(3), 331–344.CrossRefGoogle Scholar
  47. Sommerville, I. (2007). Software engineering (8th ed.). Harlow: Addison-Wesley.Google Scholar
  48. Strawson, P. (1964). Identifying reference and truth-value. Theoria, 30, 96–118.CrossRefGoogle Scholar
  49. Szabolcsi, A. (1997). Ways of scope taking. Dordrecht: Kluwer Academic.Google Scholar
  50. Young, J. O. (2002). The slingshot argument and the correspondence theory of truth. Acta Analytica, 17(1), 121–132.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  1. 1.Department of PhilosophyUniversity of HertfordshireHertfordshireUK
  2. 2.Faculty of Philosophy and IEGUniversity of OxfordOxfordUK

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