Advertisement

Extraction of Basic-Level Categories Using Dendrogram and Multidendrogram

  • Mariusz MulkaEmail author
  • Wojciech Lorkiewicz
  • Radosław P. Katarzyniak
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1074)

Abstract

Cognitive agents should be equipped with computational methods enabling autonomous extraction of internal cognitive structures, i.e., supporting organization of large datasets and facilitating interaction with human users. In this research, we focus solely on the extraction of basic-level categories. We propose a computational approach that allows the agent to develop, through individual interaction with the external world, provisional clusters (using hierarchal clustering techniques) and filter them, using predefined measures of basic-levelness (inspired by psycholinguistic research). We focus on analysing the behaviour of two proposed computational approaches, namely dendrogram and multidendrogram, to establishing provisional clusters. Further, the approach is extensively studied through an array of simulations. Obtained results highlight that the proposed methods can be used to extract basic-level categories.

Keywords

Basic-level categories Cognitive computing 

Notes

Acknowledgment

This research was carried out at Wrocław University of Science and Technology (Poland) under Grant 0401/0190/18 titled Models and Methods of Semantic Communication in Cyber-Physical Systems.

References

  1. 1.
    Bornstein, M.H., Arterberry, M.E.: The development of object categorization in young children: hierarchical inclusiveness, age, perceptual attribute, and group versus individual analyses (2010)Google Scholar
  2. 2.
    Corter, J.E., Gluck, M.A.: Explaining basic categories: feature predictability and information. Psychol. Bull. 111(2), 291–303 (1992)CrossRefGoogle Scholar
  3. 3.
    Corter, J.E., Gluck, M.A., Bower, G.H.: Proceedings of the Tenth Annual Conference of the Cognitive Science Society (1988)Google Scholar
  4. 4.
    Fernández, A., Gómez, S.: Solving non-uniqueness in agglomerative hierarchical clustering using multidendrograms. J. Classif. 25(1), 43–65 (2008)MathSciNetCrossRefGoogle Scholar
  5. 5.
    Gosselin, F., Schyns, P.: Debunking the basic level. In: Cognitive Science Society (US) Conference/Proceedings, pp. 277–282 (1997)Google Scholar
  6. 6.
    Harnad, S.: To cognize is to categorize: cognition is categorization. In: Lefebvre, C., Cohen, H. (eds.) Handbook of Categorization. Elsevier, Amsterdam (2005)Google Scholar
  7. 7.
    Hoffmann, J., Ziessler, C.: Objektidentifikation in künstlichen Begriffshierarchien. Object Ident. Artif. Conceptual Hierarchies 191(2), 135–167 (1983)Google Scholar
  8. 8.
    Jones, G.V.: Identifying basic categories. Psychol. Bull. 94(3), 423–428 (1983)CrossRefGoogle Scholar
  9. 9.
    Mulka, M., Lorkiewicz, W.: Measures for extracting basic-level categories. In: 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), pp. 1–6 (2018)Google Scholar
  10. 10.
    Murphy, G.L.: Parts in object concepts: experiments with artificial categories. Mem. Cogn. 19(5), 423–438 (1991)CrossRefGoogle Scholar
  11. 11.
    Murphy, G.L., Smith, E.E.: Basic-level superiority in picture categorization. J. Verbal Learn. Verbal Behav. 21(1), 1–20 (1982)CrossRefGoogle Scholar
  12. 12.
    Rosch, E., Mervis, C.B., Gray, W.D., Johnson, D.M., Boyes-Braem, P.: Basic objects in natural categories. Cogn. Psychol. 8(3), 382–439 (1976)CrossRefGoogle Scholar
  13. 13.
    Saxena, A., Prasad, M., Gupta, A., Bharill, N., Patel, O.P., Tiwari, A., Er, M.J., Ding, W., Lin, C.T.: A review of clustering techniques and developments. Neurocomputing 267, 664–681 (2017)CrossRefGoogle Scholar
  14. 14.
    Tanaka, J.W., Taylor, M.: Object categories and expertise: Is the basic-level in the eye of the beholder? Cogn. Psychol. 23, 457–482 (1991)CrossRefGoogle Scholar
  15. 15.
    Tversky, A.: Features of similarity. Psychol. Rev. 84(4), 327–352 (1977)CrossRefGoogle Scholar
  16. 16.
    Tversky, B., Hemenway, K.: Objects, parts, and categories. J. Exp. Psychol. Gen. 113(2), 169–193 (1984)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Mariusz Mulka
    • 1
    Email author
  • Wojciech Lorkiewicz
    • 1
  • Radosław P. Katarzyniak
    • 1
  1. 1.Faculty of Computer Science and ManagementWrocław University of Science and TechnologyWrocławPoland

Personalised recommendations