AI Behavior System

[HyperCrowd]

• [ ] Identify different types of creeps (e.g., melee, ranged, tank) and their roles in gameplay.
• [ ] Determine unique characteristics and behaviors for each creep type.
• [ ] Implement basic movement logic for creeps to navigate the game map.
• [ ] Utilize pathfinding algorithms (e.g., A* or navigation meshes) to enable creeps to navigate around obstacles and terrain.
• [ ] Define aggro mechanics to determine when creeps target players or other units.
• [ ] Implement targeting logic to prioritize enemies based on specific criteria (e.g., distance, health). Lane Behavior
• [ ] Develop lane behavior for creeps to follow paths toward enemy structures while engaging with other creeps and players.
• [ ] Ensure creeps correctly interact with towers and inhibitors, focusing on strategic gameplay.
• [ ] Create combat behaviors for creeps, including attacking, retreating, and using abilities.
• [ ] Determine when creeps should engage in combat versus when to back off based on health thresholds or enemy presence.
• [ ] Implement a system for spawning creeps in waves, including timings and quantities.
• [ ] Design mechanisms for scaling creep strength or quantity based on game progression.
• [ ] Develop AI behaviors that allow creeps to work together (e.g., flanking, supporting each other).
• [ ] Implement formations or group tactics that enhance their effectiveness in combat.
• [ ] Conduct playtests to evaluate the effectiveness and impact of AI-controlled creeps on gameplay.
• [ ] Gather feedback on creep behavior from players, focusing on engagement and challenge levels.
• [ ] Adjust parameters based on testing results to ensure balanced gameplay.