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Analyzing Psychological Similarity Spaces for Shapes

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Ontologies and Concepts in Mind and Machine (ICCS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12277))

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Abstract

The cognitive framework of conceptual spaces [3] proposes to represent concepts and properties such as apple and round as convex regions in perception-based similarity spaces.

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References

  1. Biederman, I.: Recognition-by-components: a theory of human image understanding. Psychol. Rev. 94(2), 115–147 (1987)

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  2. Derrac, J., Schockaert, S.: Inducing semantic relations from conceptual spaces: a data-driven approach to plausible reasoning. Artif. Intell. 228, 66–94 (2015). https://doi.org/10.1016/j.artint.2015.07.002

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  3. Gärdenfors, P.: Conceptual Spaces: The Geometry of Thought. MIT Press, Cambridge (2000)

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  4. de Leeuw, J.: Recent Development in Statistics, Chap. Applications of Convex Analysis to Multidimensional Scaling, pp. 133–146. North Holland Publishing, Amsterdam (1977)

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  5. Sanders, C.A., Nosofsky, R.M.: Using deep-learning representations of complex natural stimuli as input to psychological models of classification. In: Proceedings of the 2018 Conference of the Cognitive Science Society, Madison (2018)

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Author information

Authors and Affiliations

  1. Institute of Cognitive Science, Osnabrück University, Osnabrück, Germany

    Lucas Bechberger

  2. Institute for Language and Information Science, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany

    Margit Scheibel

Authors
  1. Lucas Bechberger
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  2. Margit Scheibel
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Corresponding author

Correspondence to Lucas Bechberger .

Editor information

Editors and Affiliations

  1. FIZ Karlsruhe – Leibniz Institute for Information Infrastructure, Karlsruhe, Germany

    Mehwish Alam

  2. Institute of Information Systems, University of Lübeck, Lübeck, Germany

    Tanya Braun

  3. Department of Computing Science, University of Aberdeen, Aberdeen, UK

    Bruno Yun

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Bechberger, L., Scheibel, M. (2020). Analyzing Psychological Similarity Spaces for Shapes. In: Alam, M., Braun, T., Yun, B. (eds) Ontologies and Concepts in Mind and Machine. ICCS 2020. Lecture Notes in Computer Science(), vol 12277. Springer, Cham. https://doi.org/10.1007/978-3-030-57855-8_16

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  • DOI: https://doi.org/10.1007/978-3-030-57855-8_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-57854-1

  • Online ISBN: 978-3-030-57855-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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