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A Data-Fusion Approach to Representing Personality Traits, Values, Beliefs and Behavior Descriptions

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Progress in Artificial Intelligence (EPIA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5816))

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Abstract

Starting with currently available data sets that capture the relationships between different pairs of personality-related constructs (for instance, descriptions of behaviors and personality traits), we describe a way of representing personality traits, human values, beliefs, and behaviors in one integrated network-centric model. We propose that such a unified representation can contribute to the making of predictions from one type of construct to another, for example, between personality characteristics and value preferences. Using a spreading activation mechanism, we show how, in principle, such a model can be used to make inferences about the plausibility of unobserved characteristics of an individual, given a very limited initial set of known characteristics.

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© 2009 Springer-Verlag Berlin Heidelberg

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Quek, BK., Sakamoto, K., Ortony, A. (2009). A Data-Fusion Approach to Representing Personality Traits, Values, Beliefs and Behavior Descriptions. In: Lopes, L.S., Lau, N., Mariano, P., Rocha, L.M. (eds) Progress in Artificial Intelligence. EPIA 2009. Lecture Notes in Computer Science(), vol 5816. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04686-5_14

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  • DOI: https://doi.org/10.1007/978-3-642-04686-5_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04685-8

  • Online ISBN: 978-3-642-04686-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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