ETRI-Knowledge Sharing Plaform



논문 검색
구분 SCI
연도 ~ 키워드


학술지 A Data-Driven Approach for Agent-Based Modeling: Simulating the Dynamics of Family Formation
Cited 13 time in scopus Download 5 time Share share facebook twitter linkedin kakaostory
사자드, 카렌디프, 백의현, 안창원
Journal of Artificial Societies and Social Simulation, v.19 no.1, pp.1-14
SimSoc Consortium
15MS7400, 실시간 인구현황 파악 및 전망과 경제·사회 현상의 분석·예측을 위한 분산·병렬 다차원 인구 마이크로 시뮬레이션 기술 개발, 백의현
In this paper, we propose a data-driven agent-based modeling approach that boosts the strength of agent-based models (ABM) in the dynamics of family formation. The proposed model analyzes the impact of socioeconomic factors on individual decisions about family formations. The key features of our model are the heterogeneous nature regarding agent's age and socioeconomic factors: income and education. Based on these attributes, agents take decisions about acceptable partners and transition to family formation. One of our objectives is to fill the gap that exists between the methodologies of demography and agent-based social simulation. Making such a connection between these two approaches, this model attempts to incorporate empirical data into agent-based social simulation which enables us to analyze the transition of family formation effectively. Further, our simulated results depict the patterns of the hazards of family formation that are observed at micro-level dynamics and explains how marriage patterns change overtime. The proposed work gives a strong insight to strengthen the extent of demographic analysis through data-driven agent-based approach.
Agent-Based model, Data-Driven, Family formation, Socioeeconomic status
KSP 제안 키워드
Agent-Based Modeling, Agent-based social simulation, Based Approach, Data-driven approach, Demographic Analysis, Empirical data, Key features, Micro-level, Modeling Approach, Proposed model, agent-based model(ABM)