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When modelling game systems, it isn't always necessary or productive to model them in perfect detail, especially if it doesn't help answer the questions the model is designed to answer.


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In the context of modelling, abstraction refers to the strategic simplification or generalization of intricate game systems, emphasizing essential elements while omitting non-essential details. This process involves focusing on key aspects that are integral to addressing specific questions or objectives within the model, rather than attempting to encapsulate every nuance.

We can take for example a real-time strategy game where unit movement is a critical aspect. Instead of modeling every conceivable physical constraint and environmental influence on unit motion, abstracting in this context might involve representing movement as a simplified algorithm, factoring in speed, terrain, and strategic considerations. By focusing on these essential components and abstracting away less crucial details, the model becomes more manageable and effective in addressing specific questions related to unit behavior and strategic planning, without sacrificing accuracy in the areas that matter most to the game's dynamics.

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