Simulation And Modeling Questions
Agent-based simulation is a modeling technique that involves creating individual entities, known as agents, and simulating their behaviors and interactions within a given system or environment. Each agent is programmed with a set of rules or behaviors that dictate how they respond to stimuli and interact with other agents. These agents can have their own goals, decision-making abilities, and characteristics, which can be based on real-world data or assumptions. By simulating the actions and interactions of these agents, agent-based simulation allows for the study and analysis of complex systems and phenomena, such as social networks, traffic patterns, or ecological systems. It provides a bottom-up approach to modeling, where the emergent behavior of the system is a result of the interactions and behaviors of the individual agents.