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Published in:
2009 | OriginalPaper | Chapter
A Data-Fusion Approach to Representing Personality Traits, Values, Beliefs and Behavior Descriptions
Authors : Boon-Kiat Quek, Kayo Sakamoto, Andrew Ortony
Published in: Progress in Artificial Intelligence
Publisher: Springer Berlin Heidelberg
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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.