Game Theory Simulations
Artificial Intelligence
The study of mathematical models of strategic interaction between rational decision-makers, important for multi-agent AI systems.
Detailed Explanation
Game Theory in AI involves analyzing strategic interactions where rational agents make decisions to maximize their own outcomes. It helps in designing algorithms for multi-agent systems, negotiations, and competitive environments by predicting behaviors and outcomes. This mathematical framework is essential for developing AI that can effectively collaborate, compete, or coexist in complex, multi-agent scenarios.
Use Cases
- •Game theory helps AI strategize in multi-agent negotiations, enabling effective collaboration or competition in complex environments like autonomous systems and economic simulations.
Related Terms
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