Application of Agent-based Modeling for Cultural Information-based Decisions Making
Articles
Rimvydas Laužikas
Vilnius University, Lithuania
https://orcid.org/0000-0001-9853-8738
Darius Plikynas
Vilnius University, Lithuania
https://orcid.org/0000-0002-5906-2324
Vytautas Dulskis
Vilnius University, Lithuania
https://orcid.org/0000-0003-3828-1592
Leonidas Sakalauskas
Vilnius University, Lithuania
Arūnas Miliauskas
Vilnius University, Lithuania
Published 2020-04-29
https://doi.org/10.15388/Im.2020.88.29
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Keywords

cultural information management
cultural participation
measurement metrics
social capital
agent-based modeling

How to Cite

Laužikas R., Plikynas D., Dulskis V., Sakalauskas L. and Miliauskas A. (2020) “Application of Agent-based Modeling for Cultural Information-based Decisions Making ”, Informacijos mokslai, 880, pp. 8-28. doi: 10.15388/Im.2020.88.29.

Abstract

The impact of cultural processes on personal and social changes is one of the important research issues not only in contemporary social sciences but also for simulation of future development scenarios and evidence-based policy decision making. In the context of the theoretical concept of cultural values, based on the system theory and theory of social capital, the impact of cultural events could be analyzed and simulated by focussing on the construction/deconstruction of social capital, which takes place throughout the actor’s cultural participation. The main goal of this research is the development of measuring metrics, and agent-based simulation model aimed at investigation of the social impact of cultural processes.  This paper provides new insights of modeling the social capital changes in a society and its groups, depending on cultural participation. The proposed measurement metrics provide the measurement facility of three key components: actors, cultural events and events flow and social capital. It provides the initial proof of concept simulation results, - simplified agent-based simulation model showcase. The NetLogo MAS platform is used as a simulation environment.  

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