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Enhancing the Realism of Simulation (EROS): On Implementing and Developing Psychological Theory in Social Simulation

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Abstract

Using psychological theory in agent formalisations is relevant to capture behavioural phenomena in simulation models (Enhance Realism Of Simulation - EROS). Whereas the potential contribution of psychological theory is important, also a number of challenges and problems in doing so are discussed. Next examples of implementations of psychological theory are being presented, ranging from simple implementations (KISS) of rather isolated theories to extended models that integrate different theoretical perspectives. The role of social simulation in developing dynamic psychological theory and integrated social psychological modelling is discussed. We conclude with some fundamental limitations and challenges concerning the modelling of human needs, cognition and behaviour.

Suggested Citation

  • Wander Jager, 2017. "Enhancing the Realism of Simulation (EROS): On Implementing and Developing Psychological Theory in Social Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(3), pages 1-14.
    • Handle: RePEc:jas:jasssj:2017-91-1
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    1. Rainer Hegselmann & Ulrich Krause, 2002. "Opinion Dynamics and Bounded Confidence Models, Analysis and Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(3), pages 1-2.
    2. J. Gareth Polhill, 2015. "Extracting OWL Ontologies from Agent-Based Models: A Netlogo Extension," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(2), pages 1-15.
    3. Julija Vasiljevska & Jochem Douw & Anna Mengolini & Igor Nikolic, 2017. "An Agent-Based Model of Electricity Consumer: Smart Metering Policy Implications in Europe," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-12.
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    2. Firouzeh Taghikhah & Tatiana Filatova & Alexey Voinov, 2021. "Where Does Theory Have It Right? A Comparison of Theory-Driven and Empirical Agent Based Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 24(2), pages 1-4.
    3. Robert Huber & Hang Xiong & Kevin Keller & Robert Finger, 2022. "Bridging behavioural factors and standard bio‐economic modelling in an agent‐based modelling framework," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 35-63, February.
    4. Dehua Gao & Flaminio Squazzoni & Xiuquan Deng, 2018. "The role of cognitive artifacts in organizational routine dynamics: an agent-based model," Computational and Mathematical Organization Theory, Springer, vol. 24(4), pages 473-499, December.
    5. Chappin, Emile J.L. & Schleich, Joachim & Guetlein, Marie-Charlotte & Faure, Corinne & Bouwmans, Ivo, 2022. "Linking of a multi-country discrete choice experiment and an agent-based model to simulate the diffusion of smart thermostats," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    6. Foramitti, Joël, 2023. "A framework for agent-based models of human needs and ecological limits," Ecological Economics, Elsevier, vol. 204(PA).

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