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Towards Conceptually Novel Oscillating Agent-Based Simulation of the Relationship Between Cultural Participation and Social Capital

  • Rimvydas LaužikasEmail author
  • Darius Plikynas
Conference paper
  • 103 Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 1079)

Abstract

Effective simulation and prediction of the social impact of culture is one of the most important questions in contemporary social science and formative cultural policy. After a comprehensive review of the current simulation approaches, we found an evident lack of systematic conceptual models, however. It gave an impetus to investigate some novel conceptual approaches. In general, we admit that cultural events take part in the formation of social capital via the ability to communicate behavioral information in social networks. Following the bottom-up approach, implications of the social impact of cultural events are taking place on the individual (agent or actor) level first. Consequently, the aggregated effect can be simulated and predicted for the group or society (multiagent) level as well. For several reasons, we used CIDOC-CRM cultural ontology, which gives a structured framework of main cultural entities. We discovered that relations between them are not trivial and require fundamentally different viewpoints and simulation frameworks, which would better conform to the emergent complexity of social networks. For this reason, we analyzed in more detail Youri Lotman‘s semiosphere concept and OSIMAS (an oscillations-based multiagent system) paradigm. Consequently, in the proposed agent-based conceptual model, there is employed not only classical pair-to-pair based Axelrod’s neighborhood interaction model but also a one-to-many information broadcasting model. Such conceptual approach is able to provide simulation models for the complex emergent relations between cultural participation and social capital.

Keywords

Cultural participation Social capital OSIMAS CIDOC-CRM Conceptual model 

Notes

Acknowledgement

This research was funded by a grant (No. P-MIP-17-368) from the Research Council of Lithuania.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Faculty of CommunicationVilnius UniversityVilniusLithuania
  2. 2.Institute of Data Science and Digital Technologies, Faculty of Mathematics and InformaticsVilnius UniversityVilniusLithuania

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