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

Authors:
Boon-Kiat Quek;Kayo Sakamoto;Andrew Ortony
Affiliations:
Computational Cognition for Social Systems, Institute of High Performance Computing, Agency for Science, Technology and Research, Singapore;Computational Cognition for Social Systems, Institute of High Performance Computing, Agency for Science, Technology and Research, Singapore;Computational Cognition for Social Systems, Institute of High Performance Computing, Agency for Science, Technology and Research, Singapore and Northwestern University, Evanston, USA
Venue:
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
Year:
2009

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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.