Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
SpringerLink
Log in

The Role of Speculations for Explainable and Trustworthy Artificial Intelligence: A Use Case on Art Genre Classification

  • Conference paper
  • First Online:
Fuzzy Logic and Technology, and Aggregation Operators (EUSFLAT 2023, AGOP 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14069))

  • 495 Accesses

Abstract

In this work, we have introduced a new way of speculative reasoning for intelligent systems. In addition, we have illustrated the utility of this way of reasoning in the context of a use case on art genre classification, where explainability and trustworthiness are a matter of major concern. Speculative reasoning is natural for humans and it turns up as a powerful tool, especially in the case of intelligent systems dealing with incomplete, vague, and imprecise information.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    http://www.visual-arts-cork.com/genres/history-painting.htm.

  2. 2.

    http://www.visual-arts-cork.com/genres/landscape-painting.htm.

  3. 3.

    https://mymodernmet.com/what-is-still-life-painting-definition/.

  4. 4.

    The interested reader can see further details about how to compute membership degrees associated with evaluated Horn Clauses in [8].

References

  1. Alonso-Moral, J.M., Mencar, C., Ishibuchi, H.: Explainable and trustworthy artificial intelligence. IEEE Comput. Intell. Mag. 17, 14–15 (2022). https://doi.org/10.1109/MCI.2021.3129953

    Article  Google Scholar 

  2. Byrne, R.M.J.: Cognitive processes in counterfactual thinking about what might have been. Psychol. Learn. Motiv. 37, 105–154 (1997)

    Article  Google Scholar 

  3. Castellano, G., Digeno, V., Sansaro, G., Vessio, G.: Leveraging knowledge graphs and deep learning for automatic art analysis. Knowl.-Based Syst. 248, 108859.1–108859.8 (2022). https://doi.org/10.1016/j.knosys.2022.108859

  4. Charles, V., Carl, K.H.: Baroque Art. e-Parkstone International (1979)

    Google Scholar 

  5. Costa, V.: The art painting style classifier based on logic aggregators and qualitative colour descriptors (C-LAD). In: Rudolph, S., Marreiros, G. (eds.) Proceedings of the 9th European Starting AI Researchers’ Symposium, co-located with the 24th European Conference on Artificial Intelligence (ECAI), Santiago Compostela, Spain. CEUR Workshop Proceedings, vol. 2655. CEUR-WS.org (2020)

    Google Scholar 

  6. Costa, V., Dellunde, P.: Term models of horn clauses over rational pavelka predicate logic. In: 47th IEEE International Symposium on Multiple-Valued Logic (ISMVL), Novi Sad, Serbia, pp. 112–117. IEEE Computer Society (2017)

    Google Scholar 

  7. Costa, V., Dellunde, P., Falomir, Z.: Style painting classifier based on horn clauses and explanations (SHE). In: Falomir, Z., Gibert, K., Plaza, E. (eds.) Artificial Intelligence Research and Development - Current Challenges, New Trends and Applications, CCIA, 21st International Conference of the Catalan Association for Artificial Intelligence. Frontiers in Artificial Intelligence and Applications, vol. 308, pp. 37–46. IOS Press (2018)

    Google Scholar 

  8. Costa, V., Dellunde, P., Falomir, Z.: The logical style painting classifier based on horn clauses and explanations (l-she). Log. J. IGPL 29(1), 96–119 (2021)

    Article  MathSciNet  Google Scholar 

  9. Falomir, Z., Cabedo, L.M., Abril, L.G.: A model for colour naming and comparing based on conceptual neighbourhood. an application for comparing art compositions. Knowl. Based Syst. 81, 1–21 (2015)

    Google Scholar 

  10. Falomir, Z., Cabedo, L.M., Sanz, I., Abril, L.G.: Categorizing paintings in art styles based on qualitative color descriptors, quantitative global features and machine learning (QArt-Learn). Expert Syst. Appl. 97, 83–94 (2018)

    Article  Google Scholar 

  11. Falomir, Z., Costa, V.: On the rationality of explanations in classification algorithms. In: Villaret, M., Alsinet, T., Fernández, C., Valls, A. (eds.) Artificial Intelligence Research and Development - Proceedings of the 23rd International Conference of the Catalan Association for Artificial Intelligence (CCIA). Frontiers in Artificial Intelligence and Applications, vol. 339, pp. 445–454. IOS Press (2021)

    Google Scholar 

  12. Mueller, E.: Commonsense Reasoning: An Event Calculus Based Approach. Elsevier Science, Amsterdam, (2014)

    Google Scholar 

  13. Stepin, I., Alonso-Moral, J.M., Catala, A., Pereira-Farina, M.: An empirical study on how humans appreciate automated counterfactual explanations which embrace imprecise information 618, 379–399 (2022). https://doi.org/10.1016/j.ins.2022.10.098

  14. Stepin, I., Alonso, J.M., Catalá, A., Pereira-Fariña, M.: A survey of contrastive and counterfactual explanation generation methods for explainable artificial intelligence. IEEE Access 9, 11974–12001 (2021). https://doi.org/10.1109/ACCESS.2021.3051315

    Article  Google Scholar 

  15. Tabacchi, M.E.: Logic and computational aspects of computing with speculations. Arch. Philos. Hist. Soft Comput. 1, 3–10 (2022)

    Google Scholar 

  16. Teijeiro, T., Félix, P.: On the adoption of abductive reasoning for time series interpretation. Artif. Intell. 262, 163–188 (2018)

    Article  MathSciNet  MATH  Google Scholar 

  17. Trillas, E., de Soto, A.: On the search of speculations. New Math. Nat. Comput. 18, 9–18 (2022). https://doi.org/10.1142/S1793005722500028

    Article  Google Scholar 

  18. Trillas, E.: A model for “crisp reasoning” with fuzzy sets. Int. J. Intell. Syst. 27(10), 859–872 (2012)

    Google Scholar 

  19. Trillas, E.: Glimpsing at guessing. Fuzzy Sets Syst. 281, 32–43 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  20. Trillas, E.: On the Logos: A Naïve View on Ordinary Reasoning and Fuzzy Logic, Studies in Fuzziness and Soft Computing, vol. 354. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-56053-3

  21. Trillas, E., García-Honrado, I., Pradera, A.: Consequences and conjectures in preordered sets. Inf. Sci. 180(19), 3573–3588 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  22. Trillas, E., Termini, S., Tabacchi, M.E.: Reasoning and Language at Work - A Critical Essay, Studies in Computational Intelligence, vol. 991. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-86088-2

Download references

Acknowledgement

This work was supported by the Spanish Ministry of Science, Innovation and Universities (grants PID2021-123152OB-C21 and TED2021-130295B-C33) and the Galician Ministry of Culture, Education, Professional Training and University (grants ED431G2019/04 and ED431C2022/19). These grants were co-funded by the European Regional Development Fund (ERDF/FEDER program). V. Costa is a Juan de la Cierva researcher (FJC2021-047274-I).

Author information

Authors and Affiliations

  1. Centro Singular de Investigación en Tecnoloxías Intelixentes (CiTIUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain

    Jose Maria Alonso-Moral

  2. Artificial Intelligence Research Institute (IIIA), Spanish National Research Council (CSIC), Bellaterra, Spain

    Vicent Costa

Authors
  1. Jose Maria Alonso-Moral
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Vicent Costa
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jose Maria Alonso-Moral .

Editor information

Editors and Affiliations

  1. University of the Balearic Islands, Palma, Spain

    Sebastia Massanet

  2. University of Oviedo, Gijón, Spain

    Susana Montes

  3. University of the Balearic Islands, Palma, Spain

    Daniel Ruiz-Aguilera

  4. University of the Balearic Islands, Palma, Spain

    Manuel González-Hidalgo

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Alonso-Moral, J.M., Costa, V. (2023). The Role of Speculations for Explainable and Trustworthy Artificial Intelligence: A Use Case on Art Genre Classification. In: Massanet, S., Montes, S., Ruiz-Aguilera, D., González-Hidalgo, M. (eds) Fuzzy Logic and Technology, and Aggregation Operators. EUSFLAT AGOP 2023 2023. Lecture Notes in Computer Science, vol 14069. Springer, Cham. https://doi.org/10.1007/978-3-031-39965-7_38

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-39965-7_38

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-39964-0

  • Online ISBN: 978-3-031-39965-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation