Agent-based modeling and simulation (ABMS) has become one of the most popular simulation methods for scientific research and real-world applications. This tutorial paper explores recent development in the use of artificial intelligence including large-language models and machine learning, and digital twin in ABMS research. Given the different perspectives on ABMS, this paper will start with ABMS basic concepts and their implementation using an online platform called AgentBlock.net.
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Multi-agent,Machine Learning,Development Of Use,Use Of Artificial Intelligence,Digital Twin,Social Systems,Big Data,General Anesthesia,Disaster Management,Real-time Data,Focus Group Discussions,Geographic Information System,Interaction Behavior,Intelligence Agencies,Traffic Conditions,Artificial Intelligence Technology,Emergent Behavior,Behavior Of Agents,Autonomous Agents,Multi-source Data,Segregation Model,Real-time Simulation,Large-scale Simulations,Migration Decisions,Agent Interactions,Decision Rules,Foundation Model,Risk Perception,Decision Support,Artificial Intelligence Models
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