~/talk

Writing, Rewriting and Re-Rewriting Armello's AI System

Talkat GCAP 2016 · 2016-11-01..11-02· [game-development, machine-learning]
links:none on file
slides:none on file

Rebuilds Armello’s AI by running the real Unity/C# gameplay code in a lighter “sim” path so decisions score actual game-state changes rather than hand‑coded heuristics, replacing a tangled inheritance tree with componentized managers, change‑based simulation and aggressive caching to avoid GC hits. Debug UI shows full path and card-play scoring, combats run ~50 Monte Carlo sims for outcomes, and planning runs in background while others act. Key outcomes: component over inheritance, change-only state diffs, integrated movement + card play.

AI-written summary · about

  1. 0:00Intro
  2. 9:11Simulation
  3. 9:51Objections
  4. 11:09Why
  5. 14:40Message System
  6. 22:16Inheritance
  7. 29:14Debugging
  8. 34:56Designers
  9. 36:46Speed
  10. 39:45Good things
  11. 44:42Why is this good
  12. 52:15Conclusions
  13. 55:58Standing Questions
  14. 56:50Outro
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