Scarcity Simulation

## Overview This research project develops a computational framework for understanding and simulating scarcity dynamics in complex systems. The framework provides insights into resource allocation, competitive behaviors, and potential interventions. ## Research Objectives - Model scarcity dynamics in real-world contexts - Simulate various policy interventions - Quantify the impact of different allocation strategies - Provide actionable recommendations for decision-makers ## Architecture The framework consists of multiple interconnected modules: - **Environment Modeler**: Defines the resource landscape - **Agent System**: Simulates individual behaviors - **Policy Engine**: Tests different intervention strategies - **Analytics Layer**: Provides visualization and insights ## Key Insights Simulations revealed that early intervention strategies have disproportionate positive impacts compared to reactive measures. The framework is now being used in policy planning for resource management. ## Repository For full implementation details, code, and extended documentation, see the GitHub repository linked above.