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Correctness, Explanation and Intention

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11558))

Abstract

There appear to be two fundamentally different notions of program correctness that emanate from two different notions of program: the mathematical correctness of abstract programs and the empirical correctness of their implemented physical manifestations [2, 16, 17]. In the abstract case, a program is taken to be correct when it meets its specification. This is a mathematical affair with all the precision and clarity that follows. But physical correctness raises some concerns and puzzles that have their origins in Putnam’s notion of physical computation [15]. Moreover, these concerns would appear to effect the mathematical case. Comparing the two cases will draw out some underling philosophical issues in the traditional approaches to correctness. In particular, we examine the different concepts of explanation that accompany the different notions of correctness, and expose the underlying role of agency in both.

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Notes

  1. 1.

    [6] addresses the relationship between the physical and the abstract in terms of levels of abstraction.

References

  1. Chalmers, D.: Does a rock implement every finite-state automaton? Synthese 108, 309–333 (1996)

    Article  MathSciNet  MATH  Google Scholar 

  2. Colburn, T.: Philosophy and Computer Science. M.E. Sharp Publishers, New York and London (2000)

    Google Scholar 

  3. Copeland, J.: What is computation? Synthese 108(3), 335–359 (1996)

    Article  MathSciNet  MATH  Google Scholar 

  4. De Millo, R.A., Lipton, R.J., Perlis, A.J.: Social processes and proofs of theorems and programs. Commun. ACM CACM 22(5), 271–280 (1979)

    Article  Google Scholar 

  5. Fetzer, J.H.: Program verification: the very idea. Commun. ACM 31(9), 1048–1063 (1988)

    Article  Google Scholar 

  6. Primiero, G.: Information in the philosophy of computer science. In: Floridi, L. (ed.) The Routledge Encyclopedia on the Philosophy of Information, pp. 90–106 (2016)

    Google Scholar 

  7. Hoare, C.A.: An axiomatic basis for computer programming. Commun. ACM 12(10), 576–580 (1969)

    Article  MATH  Google Scholar 

  8. Horsman, C., Stepney, S., Wagner, R., Kendon, V.: When does a physical system compute? Proc. R. Soc. A Math. Phys. Eng. Sci. 470(2169), 20140182 (2014)

    Article  MATH  Google Scholar 

  9. Kroes, P.: Technological explanations: the relation between structure and function of technological objects. Techné Res. Philos. Technol. 3(3), 124–134 (1988)

    Article  Google Scholar 

  10. Kroes, P.: Technical Artefacts: Creations of Mind and Matter: A Philosophy of Engineering Design. Springer, Dordrecht (2012). https://doi.org/10.1007/978-94-007-3940-6

    Book  Google Scholar 

  11. Lang, M.: Aspects of mathematical explanation: symmetry, unity and salience. Philos. Rev. 123(4), 485–531 (2014)

    Article  MATH  Google Scholar 

  12. https://en.wikipedia.org/wiki/NMOS_logic

  13. Piccinini, G.: Computation in Physical Systems. The Stanford Encyclopedia of Philosophy (Summer 2015 Edition)

    Google Scholar 

  14. Piccinini, G.: Physical Computation: A Mechanistic Account. Oxford University Press, Oxford (2015)

    Book  MATH  Google Scholar 

  15. Putnam, H.: Minds and machines. In: Hook, S. (ed.) Dimensions of Mind: A Symposium, pp. 138–164. Collier, New York (1960)

    Google Scholar 

  16. Turner, R., Angius, N.: The Philosophy of Computer Science. The Stanford Encyclopaedia of Philosophy (Spring 2017 Edition)

    Google Scholar 

  17. Turner, R.: Towards a philosophy of computer science. Computational Artifacts, pp. 13–19. Springer, Heidelberg (2018). https://doi.org/10.1007/978-3-662-55565-1_2

    Chapter  Google Scholar 

  18. Wittgenstein, L.: Remarks on the foundations of mathematics. von Wright, G.H., Rhees, R., Anscombe, G.E.M. (eds.). Oxford (1978)

    Google Scholar 

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Correspondence to Raymond Turner .

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Turner, R. (2019). Correctness, Explanation and Intention. In: Manea, F., Martin, B., Paulusma, D., Primiero, G. (eds) Computing with Foresight and Industry. CiE 2019. Lecture Notes in Computer Science(), vol 11558. Springer, Cham. https://doi.org/10.1007/978-3-030-22996-2_6

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  • DOI: https://doi.org/10.1007/978-3-030-22996-2_6

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