Virtual personalities: Using computational modeling to understand within-person variability |
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Affiliation: | 1. School of Electrical Engineering and Computer Science, University of Newcastle, Australia;2. School iof Automation, Beijing Institute of Technology;3. Division of Automatic Control, Department of Electrical Engineering, Linkoping University, Sweden;4. Delft Center for Systems and Control, Delft University, Delft 2628CD, Netherlands |
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Abstract: | How can the same underlying psychological/neurobiological system result in both stable between-individual differences and high levels of within-individual variability in personality states over time and situations? We argue that both types of variability result from a psychological system based on structured, chronic motivations, where behavior at a specific point in time is a joint function of the current availability of motive affordances in the situation, current motivationally relevant bodily or interoceptive states, and the result of the competition among alternative active motives. Here we present a biologically-based theoretical framework, embodied in two different computational models, that shows how individuals with stable personality characteristics, can nevertheless exhibit considerable within-person variability in personality states across time and situations. |
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Keywords: | Virtual personalities Within-person variability Between-person variability Social computational modeling |
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