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Explore the mathematical foundations of agent-based modeling through this 24-minute conference talk that demonstrates how to formulate generalized agent-based models as nested recursive functions. Learn the theoretical framework for representing complex multi-agent systems using recursive mathematical structures, understand the equivalence between different recursive formulations, and discover how this approach provides a unified mathematical foundation for analyzing agent interactions and emergent behaviors. Gain insights into the computational and theoretical advantages of recursive representations in agent-based modeling, including their applications in simulation design and mathematical analysis of complex adaptive systems.
