Category: ai-technology | video-generation
By Nathanael Andrade

Minimax AI


  • Advantages:

    • Optimal Decision-Making: Minimax ensures the best possible outcome for a player by minimizing the possible loss in a worst-case scenario.

    • Strategic Depth: It can analyze multiple moves ahead, allowing for deeper strategic planning in games.

    • Clear Evaluation: Provides a clear protocol for decision-making in two-player games, making it easy to understand.

    • Deterministic: Since it follows a set logic, the outcomes are predictable and reproducible.



  • Disadvantages:

    • Computationally Intensive: The algorithm can be inefficient for games with large branching factors, requiring significant computational resources.

    • Limited to Zero-Sum Games: Minimax is primarily suited for zero-sum scenarios and may not perform well in other types of games.

    • No Learning Capability: Unlike some AI methods, Minimax does not learn from past experiences or adapt over time.

    • Static Evaluation: Requires a well-defined evaluation function, which can be difficult to create for complex games.



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