Computational Model Library

Dynamic Value-based Cognitive Architectures (1.0.0)

The intention of this model is to create an universal basis on how to model change in value prioritizations within social simulation. This model illustrates the designing of heterogeneous populations within agent-based social simulations by equipping agents with Dynamic Value-based Cognitive Architectures (DVCA-model). The DVCA-model uses the psychological theories on values by Schwartz (2012) and character traits by McCrae and Costa (2008) to create an unique trait- and value prioritization system for each individual. Furthermore, the DVCA-model simulates the impact of both social persuasion and life-events (e.g. information, experience) on the value systems of individuals by introducing the innovative concept of perception thermometers. Perception thermometers, controlled by the character traits, operate as buffers between the internal value prioritizations of agents and their external interactions. By introducing the concept of perception thermometers, the DVCA-model allows to study the dynamics of individual value prioritizations under a variety of internal and external perturbations over extensive time periods. Possible applications are the use of the DVCA-model within artificial sociality, opinion dynamics, social learning modelling, behavior selection algorithms and social-economic modelling.

DVCA.PNG

Release Notes

See included ODD

Associated Publications

Dynamic Value-based Cognitive Architectures 1.0.0

Submitted by Bart de Bruin Published Nov 30, 2021 Last modified Dec 03, 2021
social interaction Character Traits Personality Traits Traits Value Systems Perception Thermometers Value change Value Prioritization attitude values opinion dynamics agent heterogeneity artificial sociality

The intention of this model is to create an universal basis on how to model change in value prioritizations within social simulation. This model illustrates the designing of heterogeneous populations within agent-based social simulations by equipping agents with Dynamic Value-based Cognitive Architectures (DVCA-model). The DVCA-model uses the psychological theories on values by Schwartz (2012) and character traits by McCrae and Costa (2008) to create an unique trait- and value prioritization system for each individual. Furthermore, the DVCA-model simulates the impact of both social persuasion and life-events (e.g. information, experience) on the value systems of individuals by introducing the innovative concept of perception thermometers. Perception thermometers, controlled by the character traits, operate as buffers between the internal value prioritizations of agents and their external interactions. By introducing the concept of perception thermometers, the DVCA-model allows to study the dynamics of individual value prioritizations under a variety of internal and external perturbations over extensive time periods. Possible applications are the use of the DVCA-model within artificial sociality, opinion dynamics, social learning modelling, behavior selection algorithms and social-economic modelling.

Release Notes

See included ODD

Cite this Model

Bart de Bruin (2021, November 30). “Dynamic Value-based Cognitive Architectures” (Version 1.0.0). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/4519bbeb-e6cd-4f7e-af0c-4f5173e66c8f/releases/1.0.0/

References

Grimm, V., Berger, U., DeAngelis, D. L., Polhill, J. G., Giske, J. & Railsback, S. F. (2010). The odd protocol: a review and first update. Ecological modelling,221(23), 2760–2768

Heidari, S., Jensen, M. & Dignum, F. (2020). Simulations with values. In Advances in SocialSimulation, (pp. 201–215). Springer

McCrae, R. R. & Costa Jr, P. T. (2008). The five-factor theory of personality. In Handbook of personality: Theory and research, (pp. 159––181). The Guilford Press

Parks-Leduc, L., Feldman, G. & Bardi, A. (2015). Personality traits and personal values: Ameta-analysis. Personality and Social Psychology Review,19(1), 3–29

Sagiv, L., Roccas, S., Cieciuch, J. & Schwartz, S. H. (2017). Personal values in human life. NatureHuman Behaviour,1(9), 630–639

Schwartz, S. H. (1994). Are there universal aspects in the structure and contents of human values? Journal of social issues,50(4), 19–45

Schwartz, S. H., Cieciuch, J., Vecchione, M., Davidov, E., Fischer, R., Beierlein, C., Ramos,A., Verkasalo, M., Lönnqvist, J.-E., Demirutku, K. et al. (2012). Refining the theory of basic individual values.Journal of personality and social psychology,103(4), 663

van de Poel, I. (2018). Design for value change.Ethics and Information Technology, (pp. 1–5)

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Contributors
Bart de Bruin
DOI
No assigned DOI
Model Version
1.0.0
License
GPL-3.0
Programming Language
NetLogo
Software Framework
Netlogo v6.1.1
Operating System
Windows
Publish Date
Tuesday, November 30, 2021
Last Updated
Friday, December 03, 2021
Downloads 85
Peer Reviewed
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Version Submitter First published Last modified Status
1.0.0 Bart de Bruin Tue Nov 30 20:29:58 2021 Fri Dec 3 14:45:05 2021 Published Peer Reviewed

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