Targeting Systems

• Creating Distance-Minimization-Based Clustering Targeting Model

  • Find the center of players based on number of clusters.

  • Best suited for precise targeting to multiple areas.

  • Minimal implementation takes a minimum of 30 minutes using DataPredict™.

• Creating Probability-Maximization-Based Clustering Targeting Model

  • Produces clusters that maximizes the likelihood of being hit.

  • Minimal implementation takes a minimum of 30 minutes using DataPredict™.

• Creating Probability-Based Targeting Model

  • Find the center of players by finding the area with high player density.

  • Can perform both precise and intentionally inaccurate, yet likely-to-hit targeting.

  • Only one cluster.

  • Minimal implementation takes a minimum of 30 minutes using DataPredict™.

• Creating Reward-Maximization-Based Targeting Model

  • If your map has terrains and structures, the model may learn to corner and “trap” players to certain locations for easy “kills” or “targets”.

  • Limited to one target at a time, but can take in multiple player locations.

  • Might be the most terrible idea out of this list. However, I will not stop game designers from making their games look “smart”.

    • The model will likely do a lot of exploration before it can hit a single player. Once that particular location is marked as “reward location”, the model will might overfocus on it.

  • Minimal implementation takes a minimum of 2 hours using DataPredict™.