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Modern societies are very rapidly changing in the context of complex and dynamic technological, economic and cultural environments. Admittedly, the latter environment is very vague and much less understood in terms of formal modelling of underlying processes. Evidently, in the era of globalization and radicalization, there is an urgent need to have some applicable models to simulate and foresee how particular cultural activities form social cohesion, dispersion, clusterization or radicalization in social groups or society in general. In this regard, presented multidisciplinary research paper is focused on modelling and simulation of stylized cultural events impact to social capital dynamics and distribution. Presented agent-based simulation approach rests upon conceptual model, which employs CIDOC-CRM methodology. OECD scheme is used to estimate social capital metrics - personal relationships, social network support, civic engagement, trust and cooperative norms. Agent-based simulation model is described using ODD standardized protocol. NetLogo MAS platform is used as a simulation environment. Obtained simulation results start from a well-known Axelrod agent-based physical neighbourhood interaction model, which we, following modern empirical observations, expanded for (i) the long-range interaction approach (broadcasted cultural events) and (ii) neighbourhood interaction in the social capital dimensions. Simulation results reveal some basic conditions under which cohesion, clustering or radicalization behavioural patterns can emerge in the simulated society.

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.