Skip to main content

Probabilistic Semantics for Categorical Syllogisms of Figure II

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11142))

Abstract

A coherence-based probability semantics for categorical syllogisms of Figure I, which have transitive structures, has been proposed recently (Gilio, Pfeifer, & Sanfilippo [15]). We extend this work by studying Figure II under coherence. Camestres is an example of a Figure II syllogism: from Every P is M and No S is M infer No S is P. We interpret these sentences by suitable conditional probability assessments. Since the probabilistic inference of \(\bar{P}|S\) from the premise set \(\{M|P,\bar{M}|S\}\) is not informative, we add \(p(S|(S \vee P))>0\) as a probabilistic constraint (i.e., an “existential import assumption”) to obtain probabilistic informativeness. We show how to propagate the assigned (precise or interval-valued) probabilities to the sequence of conditional events \((M|P,\bar{M}|S, S|(S \vee P))\) to the conclusion \(\bar{P}|S\). Thereby, we give a probabilistic meaning to the other syllogisms of Figure II. Moreover, our semantics also allows for generalizing the traditional syllogisms to new ones involving generalized quantifiers (like Most S are P) and syllogisms in terms of defaults and negated defaults.

N. Pfeifer and G. Sanfilippo—Shared first authorship (both authors contributed equally to this work).

N. Pfeifer—Supported by his DFG grant PF 740/2-2 (within the SPP1516).

G. Sanfilippo—Partially supported by the “National Group for Mathematical Analysis, Probability and their Applications” (GNAMPA – INdAM).

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   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

References

  1. Amarger, S., Dubois, D., Prade, H.: Constraint propagation with imprecise conditional probabilities. In: Proceedings of UAI 1991, pp. 26–34. Morgan Kaufmann, Burlington (1991)

    Google Scholar 

  2. Amarger, S., Dubois, D., Prade, H.: Handling imprecisely-known conditional probabilities. In: Hand, D. (ed.) AI and Computer Power: the Impact on Statistics, pp. 63–97. Chapman & Hall, London (1994)

    Google Scholar 

  3. Baioletti, M., Capotorti, A., Galli, L., Tognoloni, S., Rossi, F., Vantaggi, B.: CkC (Check Coherence package; version e6, November 2016). http://www.dmi.unipg.it/~upkd/paid/software.html

  4. Barwise, J., Cooper, R.: Generalized quantifier and natural language. Linguist. Philos. 4, 159–219 (1981)

    Article  Google Scholar 

  5. Biazzo, V., Gilio, A.: A generalization of the fundamental theorem of de Finetti for imprecise conditional probability assessments. Int. J. Approximate Reason. 24(2–3), 251–272 (2000)

    Article  MathSciNet  Google Scholar 

  6. Biazzo, V., Gilio, A., Lukasiewicz, T., Sanfilippo, G.: Probabilistic logic under coherence: complexity and algorithms. Ann. Math. Artif. Intell. 45(1–2), 35–81 (2005)

    Article  MathSciNet  Google Scholar 

  7. Biazzo, V., Gilio, A., Sanfilippo, G.: Coherent conditional previsions and proper scoring rules. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds.) IPMU 2012. CCIS, vol. 300, pp. 146–156. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-31724-8_16

    Chapter  Google Scholar 

  8. Capotorti, A., Galli, L., Vantaggi, B.: Locally strong coherence and inference with lower-upper probabilities. Soft Comput. 7(5), 280–287 (2003)

    Article  Google Scholar 

  9. Chater, N., Oaksford, M.: The probability heuristics model of syllogistic reasoning. Cogn. Psychol. 38, 191–258 (1999)

    Article  Google Scholar 

  10. Cohen, A.: Generics, frequency adverbs, and probability. Linguist. Philos. 22, 221–253 (1999)

    Article  Google Scholar 

  11. Coletti, G., Scozzafava, R.: Probabilistic Logic in a Coherent Setting. Kluwer, Dordrecht (2002)

    Book  Google Scholar 

  12. Coletti, G., Scozzafava, R., Vantaggi, B.: Possibilistic and probabilistic logic under coherence: default reasoning and system P. Math. Slovaca 65(4), 863–890 (2015)

    Article  MathSciNet  Google Scholar 

  13. Dubois, D., Godo, L., López De Màntaras, R., Prade, H.: Qualitative reasoning with imprecise probabilities. J. Intell. Inf. Syst. 2(4), 319–363 (1993)

    Google Scholar 

  14. Gilio, A., Ingrassia, S.: Totally coherent set-valued probability assessments. Kybernetika 34(1), 3–15 (1998)

    MathSciNet  MATH  Google Scholar 

  15. Gilio, A., Pfeifer, N., Sanfilippo, G.: Transitivity in coherence-based probability logic. J. Appl. Logic 14, 46–64 (2016)

    Article  MathSciNet  Google Scholar 

  16. Gilio, A., Sanfilippo, G.: Conditional random quantities and iterated conditioning in the setting of coherence. In: van der Gaag, L.C. (ed.) ECSQARU 2013. LNCS (LNAI), vol. 7958, pp. 218–229. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-39091-3_19

    Chapter  MATH  Google Scholar 

  17. Gilio, A., Sanfilippo, G.: Generalized logical operations among conditional events. Appl. Intell. (in press). https://doi.org/10.1007/s10489-018-1229-8

  18. Gilio, A., Over, D.E., Pfeifer, N., Sanfilippo, G.: Centering and compound conditionals under coherence. In: Ferraro, M.B., et al. (eds.) Soft Methods for Data Science. AISC, vol. 456, pp. 253–260. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-42972-4_32

    Chapter  Google Scholar 

  19. Gilio, A., Pfeifer, N., Sanfilippo, G.: Transitive reasoning with imprecise probabilities. In: Destercke, S., Denoeux, T. (eds.) ECSQARU 2015. LNCS (LNAI), vol. 9161, pp. 95–105. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-20807-7_9

    Chapter  MATH  Google Scholar 

  20. Gilio, A., Sanfilippo, G.: Probabilistic entailment in the setting of coherence: the role of quasi conjunction and inclusion relation. Int. J. Approximate Reason. 54(4), 513–525 (2013)

    Article  MathSciNet  Google Scholar 

  21. Gilio, A., Sanfilippo, G.: Quasi conjunction, quasi disjunction, t-norms and t-conorms: probabilistic aspects. Inf. Sci. 245, 146–167 (2013)

    Article  MathSciNet  Google Scholar 

  22. Gilio, A., Sanfilippo, G.: Conditional random quantities and compounds of conditionals. Studia Logica 102(4), 709–729 (2014)

    Article  MathSciNet  Google Scholar 

  23. Lambert, J.H.: Neues Organon oder Gedanken über die Erforschung und Bezeichnung des Wahren und dessen Unterscheidung vom Irrthum und Schein. Wendler, Leipzig (1764)

    Google Scholar 

  24. Lukasiewicz, T.: Local probabilistic deduction from taxonomic and probabilistic knowledge-bases over conjunctive events. Int. J. Approximate Reason. 21, 23–61 (1999)

    Article  MathSciNet  Google Scholar 

  25. Lukasiewicz, T.: Probabilistic deduction with conditional constraints over basic events. J. Artif. Intell. Res. 10, 199–241 (1999)

    Article  MathSciNet  Google Scholar 

  26. Peters, S., Westerståhl, D.: Quantifiers in Language and Logic. Oxford University Press, Oxford (2006)

    Google Scholar 

  27. Petturiti, D., Vantaggi, B.: Envelopes of conditional probabilities extending a strategy and a prior probability. Int. J. Approximate Reason. 81, 160–182 (2017)

    Article  MathSciNet  Google Scholar 

  28. Pfeifer, N.: Contemporary syllogistics: comparative and quantitative syllogisms. In: Kreuzbauer, G., Dorn, G.J.W. (eds.) Argumentation in Theorie und Praxis: Philosophie und Didaktik des Argumentierens, pp. 57–71. Lit Verlag, Wien (2006)

    Google Scholar 

  29. Pfeifer, N.: The new psychology of reasoning: a mental probability logical perspective. Thinking Reason. 19(3–4), 329–345 (2013)

    Article  Google Scholar 

  30. Pfeifer, N.: Reasoning about uncertain conditionals. Studia Logica 102(4), 849–866 (2014)

    Article  MathSciNet  Google Scholar 

  31. Pfeifer, N., Douven, I.: Formal epistemology and the new paradigm psychology of reasoning. Rev. Philos. Psychol. 5(2), 199–221 (2014)

    Article  Google Scholar 

  32. Pfeifer, N., Kleiter, G.D.: Towards a mental probability logic. Psychol. Belgica 45(1), 71–99 (2005)

    Article  Google Scholar 

  33. Pfeifer, N., Sanfilippo, G.: Probabilistic squares and hexagons of opposition under coherence. Int. J. Approximate Reason. 88, 282–294 (2017)

    Article  MathSciNet  Google Scholar 

  34. Pfeifer, N., Sanfilippo, G.: Square of opposition under coherence. In: Ferraro, M.B. (ed.) Soft Methods for Data Science. AISC, vol. 456, pp. 407–414. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-42972-4_50

    Chapter  Google Scholar 

  35. Pfeifer, N., Tulkki, L.: Conditionals, counterfactuals, and rational reasoning. An experimental study on basic principles. Minds Mach. 27(1), 119–165 (2017)

    Article  Google Scholar 

  36. Sanfilippo, G., Pfeifer, N., Gilio, A.: Generalized probabilistic modus ponens. In: Antonucci, A., Cholvy, L., Papini, O. (eds.) ECSQARU 2017. LNCS (LNAI), vol. 10369, pp. 480–490. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-61581-3_43

    Chapter  Google Scholar 

  37. Sanfilippo, G., Pfeifer, N., Over, D.E., Gilio, A.: Probabilistic inferences from conjoined to iterated conditionals. Int. J. Approximate Reason. 93, 103–118 (2018)

    Article  MathSciNet  Google Scholar 

  38. Martin, T.: J.-H. Lambert’s theory of probable syllogisms. Int. J. Approximate Reason. 52(2), 144–152 (2011)

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgments

We thank three anonymous reviewers for their useful comments and suggestions.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Niki Pfeifer or Giuseppe Sanfilippo .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Pfeifer, N., Sanfilippo, G. (2018). Probabilistic Semantics for Categorical Syllogisms of Figure II. In: Ciucci, D., Pasi, G., Vantaggi, B. (eds) Scalable Uncertainty Management. SUM 2018. Lecture Notes in Computer Science(), vol 11142. Springer, Cham. https://doi.org/10.1007/978-3-030-00461-3_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-00461-3_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00460-6

  • Online ISBN: 978-3-030-00461-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics