Predictive Field Simulation Model
Overview
A framework describing how players internally simulate likely field outcomes using incomplete or uncertain information.
Key Points
- Explains predictive cognition under uncertainty.
- Describes how players mentally model unfolding plays.
- Covers divergence between accurate and inaccurate predictions.
- Separates simulation theory from tactical intelligence.
- Supports KG nodes for competitive cognition.
Details
Players constantly simulate potential outcomes based on expected opponent actions, lane changes, and compositional structures. These predictions inform decision timing and positioning.
This model defines how predictive accuracy influences momentum, risk tolerance, and structural stability across a match.
Video References
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