Skip to main content

Analogical proportions: another logical view

  • Conference paper
  • First Online:

Abstract

This paper investigates the logical formalization of a restricted form of analogical reasoning based on analogical proportions, i.e. statements of the form a is to b as c is to d. Starting from a naive set theoretic interpretation, we highlight the existence of two noticeable companion proportions: one states that a is to b the converse of what c is to d (reverse analogy), while the other called paralogical proportion expresses that what a and b have in common, c and d have it also. We identify the characteristic postulates of the three types of proportions and examine their consequences from an abstract viewpoint. We further study the properties of the set theoretic interpretation and of the Boolean logic interpretation, and we provide another light on the understanding of the role of permutations in the modeling of the three types of proportions. Finally, we address the use of these proportions as a basis for inference in a propositional setting, and relate it to more general schemes of analogical reasoning. The differences between analogy, reverse-analogy, and paralogy is still emphasized in a three-valued setting, which is also briefly presented.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Winston, P.H.: Learning and reasoning by analogy. Com. ACM, 23 (1980) 689–703

    Article  Google Scholar 

  2. Davies, T.R., Russell, S.J.: A logical approach to reasoning by analogy. In: IJCAI-87, Morgan Kaufmann (1987) 264–270

    Google Scholar 

  3. Sowa, J.F., Majumdar, A.K.: Analogical reasoning. In: Proc. Inter. Conf. on Conceptual Structures. LNAI 2746, Dresden, Springer-Verlag (2003) 16–36

    Google Scholar 

  4. Gentner, D.: The Mechanisms of Analogical Learning. In: Similarity and Analogical Reasoning. Cambridge University Press (1989) 197–241

    Google Scholar 

  5. Schmid, U., Gust, H., Kühnberger, K., Burghardt, J.: An algebraic framework for solving proportional and predictive analogies. Eur. Conf. Cogn. Sci. 295-300 (2003)

    Google Scholar 

  6. Melis, E., Veloso, M.: Analogy in problem solving. In: Handbook of Practical Reasoning: Computational and Theoretical Aspects, Oxford University Press (1998)

    Google Scholar 

  7. Ippoliti, E.: Demonstrative and non-demonstrative reasoning by analogy. in: ”Demonstrative and non-demonstrative reasoning in mathematics and natural science”, C. Cellucci - P. Pecere (eds), Edizioni dell’Universia’ di Cassino, 2006, 309-338 (arXiv:0810.5078) (2008) 24 p

    Google Scholar 

  8. Lepage, Y.: Analogy and formal languages. In: Proc. FG/MOL 2001. (2001) 373–378 (see also http://www.slt.atr.co.jp/lepage/pdf/dhdryl.pdf.gz).

  9. Stroppa, N., Yvon, F.: Analogical learning and formal proportions: Definitions and methodological issues. ENST Paris report (2005)

    Google Scholar 

  10. Miclet, L., Prade, H.: Handling analogical proportions in classical logic and fuzzy logics settings. In: Proc. 10th ECSQARU, Verona. Volume LNCS 5590., Springer (2009) 638–650

    Google Scholar 

  11. Prade, H., Richard, G.: Analogy, paralogy and reverse analogy: Postulates and inferences. In: Proc. 32nd Ann. Conf. on Artif. Intellig. (KI 2009), Paderborn, Sept. 15-18, Springer (2009)

    Google Scholar 

  12. Miclet, L., Bayoudh, S., Delhay, A.: Analogical dissimilarity: definition, algorithms and two experiments in machine learning. JAIR, 32 (2008) 793–824

    MATH  MathSciNet  Google Scholar 

  13. Klein, S.: Culture, mysticism & social structure and the calculation of behavior. In: Proc. Europ. Conf. in AI (ECAI). (1982) 141–146

    Google Scholar 

  14. Stroppa, N., Yvon, F.: An analogical learner for morphological analysis. In: Proc. 9th Conf. Comput. Natural Language Learning (CoNLL-2005). (2005) 120–127

    Google Scholar 

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

    Google Scholar 

  16. Barbot, N., Miclet, L.: La proportion analogique dans les groupes: applications aux permutations et aux matrices. Technical Report 1914, IRISA (July 2009)

    Google Scholar 

  17. Gentner, D., Holyoak, K.J., Kokinov, B.: (Eds.) The Analogical Mind: Perspectives from Cognitive Sciences. MIT Press (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Henri Prade .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag London

About this paper

Cite this paper

Prade, H., Richard, G. (2010). Analogical proportions: another logical view. In: Bramer, M., Ellis, R., Petridis, M. (eds) Research and Development in Intelligent Systems XXVI. Springer, London. https://doi.org/10.1007/978-1-84882-983-1_9

Download citation

  • DOI: https://doi.org/10.1007/978-1-84882-983-1_9

  • Published:

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84882-982-4

  • Online ISBN: 978-1-84882-983-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics