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Modelling asymmetric similarity with prominence.
1Department of Computer Science, University of Skövde, Sweden. mikael.johannesson@ida.his.se
Summary
This study introduces the relative prominence model for understanding directed similarity. The model explains asymmetric similarity by considering the relative prominence of objects, showing good parameter estimation from empirical data.
Area of Science:
- Cognitive psychology
- Mathematical modeling
- Psychophysics
Background:
- Asymmetric similarity is a key phenomenon in cognitive psychology.
- Tversky's findings suggest 'relative prominence' influences perceived similarity.
- Existing models often explain asymmetry using 'stimulus bias'.
Purpose of the Study:
- Introduce and discuss the geometrically based relative prominence model.
- Explain directed similarity as a function of symmetric similarity and relative prominence.
- Compare the relative prominence model with stimulus bias models.
Main Methods:
- Developed a geometrically based model (relative prominence model).
- Formulated directed similarity based on symmetric similarity and relative prominence quotient.
- Analyzed empirical data sets to estimate model parameters.
Main Results:
- The relative prominence model effectively captures directed similarity.
- Parameters of the model can be estimated well from empirical data.
- Empirical analysis supports the role of relative prominence in asymmetric similarity.
Conclusions:
- The relative prominence model provides a robust explanation for directed similarity.
- Relative prominence is a significant factor in asymmetric similarity perception.
- The model offers an alternative to stimulus bias explanations for similarity asymmetry.