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Boolean Analogical Proportions - Axiomatics and Algorithmic Complexity Issues

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10369))

Abstract

Analogical proportions, i.e., statements of the form a is to b as c is to d, are supposed to obey 3 axioms expressing reflexivity, symmetry, and stability under central permutation. These axioms are not enough to determine a single Boolean model, if a minimality condition is not added. After an algebraic discussion of this minimal model and of related expressions, another justification of this model is given in terms of Kolmogorov complexity. It is shown that the 6 Boolean patterns that make an analogical proportion true have a minimal complexity with respect to an expression reflecting the intended meaning of the proportion.

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Notes

  1. 1.

    There are 3 companion approximations that involve the two additional patterns of \(A_K\):

    \( (a \equiv d) \wedge (b \equiv c) \quad \begin{array}{|cccc|} \hline 1 &{} 1 &{} 1&{} 1 \\ \hline 0 &{} 0 &{} 0 &{} 0 \\ \hline 1 &{} 0 &{} 0 &{} 1 \\ \hline 0 &{} 1 &{} 1 &{} 0 \\ \hline \end{array} \); \( (a \not \equiv b) \wedge (c \not \equiv d) \quad \begin{array}{|cccc|} \hline 1 &{} 0 &{} 0 &{} 1 \\ \hline 0 &{} 1 &{} 1 &{} 0 \\ \hline 1 &{} 0 &{} 1 &{} 0 \\ \hline 0 &{} 1 &{} 0 &{} 1 \\ \hline \end{array} \); \( (a \not \equiv c) \wedge (b \not \equiv d) \quad \begin{array}{|cccc|} \hline 1 &{} 1 &{} 0 &{} 0 \\ \hline 0 &{} 0 &{} 1 &{} 1 \\ \hline 1 &{} 0 &{} 0 &{} 1 \\ \hline 0 &{} 1 &{} 1 &{} 0 \\ \hline \end{array} \).

  2. 2.

    Note that lower approximations of analogical proportions miss at least one axiom.

References

  1. Bennett, C.H., Gács, P., Li, M., Vitányi, P., Zurek, W.H.: Information distance (2010). CoRR abs/1006.3520

  2. Cornuéjols, A.: Analogy as minimization of description length. In: Nakhaeizadeh, G., Taylor, C. (eds.) Machine Learning and Statistics: The Interface, pp. 321–336. Wiley, Chichester (1996)

    Google Scholar 

  3. Delahaye, J.P., Zenil, H.: On the Kolmogorov-Chaitin complexity for short sequences (2007). CoRR abs/0704.1043

    Google Scholar 

  4. Delahaye, J.P., Zenil, H.: Numerical evaluation of algorithmic complexity for short strings: a glance into the innermost structure of randomness. Appl. Math. Comput. 219(1), 63–77 (2012)

    MATH  Google Scholar 

  5. Goel, S., Bush, S.F.: Kolmogorov complexity estimates for detection of viruses in biologically inspired security systems: a comparison with traditional approaches. Complexity 9(2), 54–73 (2003)

    Article  Google Scholar 

  6. Klein, S.: Whorf transforms and a computer model for propositional/appositional reasoning. In: Proceedings of the Applied Mathematics colloquium, University of Bielefeld, West Germany (1977)

    Google Scholar 

  7. Lepage, Y.: Analogy and formal languages. Electr. Notes Theor. Comp. Sci. 53, 180–191 (2002). Moss, L.S., Oehrle, R.T. (eds.) Proceedings of the Joint Meeting of the 6th Conference on Formal Grammar and the 7th Conference on Mathematics of Language

    Google Scholar 

  8. Levin, L.: Laws of information conservation (non-growth) and aspects of the foundation of probability theory. Probl. Inf. Transm. 10, 206–210 (1974)

    Google Scholar 

  9. Li, M., Vitanyi, P.: An Introduction to Kolmogorov Complexity and Its Applications, 3rd edn. Springer, New York (2008)

    Book  MATH  Google Scholar 

  10. Miclet, L., Delhay, A.: Relation d’analogie et distance sur un alphabet défini par des traits. Technical Report 1632, IRISA, July 2004

    Google Scholar 

  11. Miclet, L., Delhay, A.: Analogical dissimilarity: definition, algorithms and first experiments in machine learning. Technical Report RR-5694, INRIA, July 2005

    Google Scholar 

  12. Miclet, L., Prade, H.: Logical definition of analogical proportion and its fuzzy extensions. In: Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS), New-York, pp. 1–6. IEEE (2008)

    Google Scholar 

  13. Miclet, L., Prade, H.: Handling analogical proportions in classical logic and fuzzy logics settings. In: Sossai, C., Chemello, G. (eds.) ECSQARU 2009. LNCS (LNAI), vol. 5590, pp. 638–650. Springer, Heidelberg (2009). doi:10.1007/978-3-642-02906-6_55

    Chapter  Google Scholar 

  14. Prade, H., Richard, G.: From analogical proportion to logical proportions. Logica Universalis 7(4), 441–505 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  15. Prade, H., Richard, G.: Homogenous and heterogeneous logical proportions. IfCoLog J. Logics Appl. 1(1), 1–51 (2014)

    Google Scholar 

  16. Shannon, C.E.: A mathematical theory of communication. Bell Syst. Tech. J. 27(3), 379–423 (1948)

    Article  MathSciNet  MATH  Google Scholar 

  17. Soler-Toscano, F., Zenil, H., Delahaye, J.P., Gauvrit, N.: Correspondence and independence of numerical evaluations of algorithmic information measures. Computability 2, 125–140 (2013)

    MathSciNet  MATH  Google Scholar 

  18. Solomonoff, R.J.: A formal theory of inductive inference. Part i and ii. Inf. Control 7(1), 1–22 and 224–254 (1964)

    Google Scholar 

  19. Stroppa, N., Yvon, F.: Du quatrième de proportion comme principe inductif: une proposition et son application à l’apprentissage de la morphologie. Traitement Automatique des Langues 47(2), 1–27 (2006)

    Google Scholar 

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Prade, H., Richard, G. (2017). Boolean Analogical Proportions - Axiomatics and Algorithmic Complexity Issues. In: Antonucci, A., Cholvy, L., Papini, O. (eds) Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2017. Lecture Notes in Computer Science(), vol 10369. Springer, Cham. https://doi.org/10.1007/978-3-319-61581-3_2

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  • DOI: https://doi.org/10.1007/978-3-319-61581-3_2

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