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Updated: May 25, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
Applications of agent-based simulation for human socio-cultural behavior modeling
Hong Jiang1, Waldemar Karwowski, Tareq Z Ahram
1Institute for Advance System Engineering, Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL 32816, USA. jianghong@knights.ucf.edu
Agent-based modeling and simulation (ABMS) analyzes complex systems by simulating individual components. This paper focuses on ABMS applications, particularly for modeling human socio-cultural behavior.
Area of Science:
- Computational Social Science
- Complex Systems Analysis
- Simulation Modeling
Background:
- Agent-based modeling and simulation (ABMS) is a widely recognized technique.
- ABMS enables the analysis of complex system-level behavior through bottom-up simulation.
- Its applications span social, political, biological, and economic sciences.
Purpose of the Study:
- To provide a comprehensive overview of Agent-based Modeling and Simulation (ABMS) applications.
- To emphasize the utility of ABMS in modeling human socio-cultural behavior (HSCB).
Main Methods:
- Review of existing literature on Agent-based Modeling and Simulation (ABMS).
- Analysis of diverse applications across various scientific domains.
- Focus on case studies and methodologies relevant to human socio-cultural behavior.
Main Results:
- ABMS is a versatile tool applicable to numerous real-world problems, including business.
- The technique facilitates understanding emergent behaviors in complex systems.
- Significant potential exists for ABMS in understanding human socio-cultural dynamics.
Conclusions:
- Agent-based modeling and simulation (ABMS) offers a robust framework for studying complex phenomena.
- Further research and application of ABMS are encouraged, especially in the realm of human socio-cultural behavior.
- ABMS provides valuable insights into system-level dynamics and emergent properties.
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