Position-Adaptive Optimization for Agent Confrontation Using the Game Triangle Plane Model
Keywords: Intelligent control game;Game Triangle;Adversarial Positioning Optimization;constraint condition;constraint conditions;Objective function
Abstract: Addressing the challenge of requiring extensive data and computational resources in intelligent control game systems, this paper proposes a triangular game relationship model in a plane that includes dynamic player A, dynamic player B, and the fixed-point base camp b of player B. This model avoids the use of information shielding technology in real game scenarios, where only small-scale effective data can be obtained to support the operation of intelligent game control systems. In this triangular game relationship model, the coordinate position relationships between player A, player B, and the base camp b of player B provide the constraints conditions for optimizing confrontation positions. Subsequently, the objective function for player A's optimal game position is constructed, and the local optimal confrontation position is obtained and verified by combining the optimization constraints.
Submission Number: 3
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