Definition ∞ System modeling involves creating abstract representations of complex systems to analyze their behavior, predict outcomes, and test different scenarios. These models use mathematical equations, algorithms, or simulations to capture the essential characteristics and interactions of system components. The goal is to gain a deeper understanding without needing to manipulate the actual system.
Context ∞ In the context of blockchain and digital assets, system modeling is crucial for designing secure consensus mechanisms, evaluating tokenomics, and predicting network performance under various conditions. Researchers use these models to assess the resilience of decentralized protocols against attacks or economic imbalances. News often references results from system modeling when discussing the security or scalability of new crypto projects.
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