Open AccessA Review of Simulation and Application of Agent-Based Model Approaches
Author(s) -
Ling Sie Chiew,
Asm Shahabuddin,
M Y Zainab
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2129/1/012053
Subject(s) - management science , computer science , interpretation (philosophy) , flood myth , data science , covid-19 , risk analysis (engineering) , natural (archaeology) , natural disaster , human behavior , operations research , artificial intelligence , engineering , business , geography , medicine , disease , archaeology , pathology , meteorology , infectious disease (medical specialty) , programming language
In the past, various traditional methods used experiments and statistical data to examine and solve the occurred problem and social-environmental issue. However, the traditional method is not suitable for expressing or solving the complex dynamics of human environmental crisis (such as the spread of diseases, natural disaster management, social problems, etc.). Therefore, the implementation of computational modelling methods such as Agent-Based Models (ABM) has become an effective technology for solving complex problems arising from the interpretation of human behaviour such as human society, environment, and biological systems. Overall, this article will outline the ABM model properties and its applications in the criminology, flood management, and the COVID-19 pandemic fields. In addition, this article will review the limitations that occurred to be overcome in the further development of the ABM model.