Video Link: https://www.youtube.com/watch?v=Ys-NYhTQJn0

AI Independent Study Summary
The video shows the major points of my masters program independent study in artificial intelligence at Old Dominion University under Dr. Shuiwang Ji. Main features include: a* pathfinding (which I sent via git merge request to jgrapht to include with their library), behavior trees, and basic detection/reaction. The end of the video leaves the bots in a jumble... eventually they work themselves out and run from one strategic point to the other, passively shooting enemies as they soon become victims of a walk-by. Snippit of email to prof providing more explanation: I have researched further what we talked about and rolled out an implementation that seems to fit my initial goals. The major roadblock was the increasing scope of handling the artificial being behaviors in code - identifying places to go, moving, detecting, responding. I did feel comfortable with the theory behind behavior trees, and initially did a simple run (implementing the basic tree). After my initial run I was so happy I decided to go gung-ho and integrated java behavior trees into my project. It helped me separate divergent functionality so I can manage it better in my head. This also yielded several modular nodes I could use interchangeably, which could make me more easily develop much more complex behaviors. The video shows how I fleshed out my particular ai (what nodes I used and sequencing). The beginning of the video shows a snapshot of my behavior tree code including the use of what I named the ...From:narfman0Views:5 0ratingsTime:06:10More inGaming

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AI Independent Study Summary - Video