👉 Agent math, also known as agent-based modeling or multi-agent systems, is a computational approach that simulates the actions and interactions of autonomous agents to assess their effects on the system as a whole. These agents, which can represent individuals, organizations, or other entities, operate based on predefined rules and adapt their behavior in response to their environment and interactions with other agents. The math underlying agent math involves discrete event simulation, where the state of the system changes at specific events (e.g., when an agent makes a decision or interacts with another). Key mathematical concepts include probability theory for modeling uncertainty, game theory for strategic interactions, and differential equations for continuous dynamics. These models are used to understand complex systems in fields like economics, sociology, epidemiology, and environmental science, providing insights into emergent behaviors and system dynamics that are difficult to capture with traditional analytical methods.
