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Objective vs. Subjective Scales: The Challenge That the Scale Type Poses to the JUDGEMAP Model of Context Sensitive Judgment

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Modeling and Using Context (CONTEXT 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4635))

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Abstract

The paper presents a computational model of context sensitive judgment, called JUDGEMAP, which has been developed for modeling judgment on a subjective scale. This paper presents an attempt to apply the same model to the case of judgment on an objective scale. This is a big challenge since the behavioral data are showing the opposite type of effects. Thus we have repeatedly obtained contrast effects of irrelevant information, when judging on a subjective scale. In the experiment described here we obtained an assimilation effect in exactly the same conditions except that the scale was objective. Without any changes of the model we run the corresponding simulations and there are a good and bad news. The bad news is that we did not obtain the assimilation effect, but the good news is that the contrast effect disappeared. The paper discusses possible reasons for these results and possible ways to improve the model.

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Authors and Affiliations

  1. Central and East European Center for Cognitive Science, Department of Cognitive Science and Psychology, New Bulgarian University, 21 Montevideo Street, Sofia 1618, Bulgaria

    Penka Hristova, Georgi Petkov & Boicho Kokinov

Authors
  1. Penka Hristova
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  2. Georgi Petkov
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  3. Boicho Kokinov
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Editor information

Boicho Kokinov Daniel C. Richardson Thomas R. Roth-Berghofer Laure Vieu

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© 2007 Springer-Verlag Berlin Heidelberg

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Hristova, P., Petkov, G., Kokinov, B. (2007). Objective vs. Subjective Scales: The Challenge That the Scale Type Poses to the JUDGEMAP Model of Context Sensitive Judgment. In: Kokinov, B., Richardson, D.C., Roth-Berghofer, T.R., Vieu, L. (eds) Modeling and Using Context. CONTEXT 2007. Lecture Notes in Computer Science(), vol 4635. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74255-5_20

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  • DOI: https://doi.org/10.1007/978-3-540-74255-5_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74254-8

  • Online ISBN: 978-3-540-74255-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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