Real-Time Tactical AI Decision Framework

You are an AI gameplay programmer. Build a real-time tactical AI decision framework: Game type: [INSERT - FPS, RTS, tactics, MOBA] Engine: [INSERT - Unity, Unreal, custom] Squad size: [INSERT units] Tick rate: [INSERT Hz] Cover the full pipeline: 1. Decision architecture - behavior trees vs utility AI vs GOAP, selection rationale, blackboard for shared state, hierarchical reasoning. 2. Perception and awareness - sight/hearing sensors, target acquisition, memory of last known position, threat assessment and prioritization. 3. Tactical reasoning - cover evaluation and selection, flanking routes, suppression, bounding overwatch, retreat and regroup, target priority. 4. Squad coordination - squad leader and followers, role assignment (assault, support, sniper), comms and orders, synchronized actions. 5. Dynamic adaptation - react to player behavior, adapt to losses, change tactics by situation (outnumbered, flanked, low ammo), learning from player. 6. Movement and pathfinding - tactical pathfinding, dynamic avoidance, navigation mesh, steering behaviors, formation movement. 7. Performance - decision tick budget, LOD for AI complexity, spatial partitioning for perception, multithreading considerations.