# Improving AI Decision Modeling Through Utility Theory

*Source* · `src-dill-2010-utility-theory` · status: **n/a**

| field | value |
|---|---|
| kind | Talk / video |
| authors | Kevin Dill, Dave Mark |
| venue | Game Developers Conference 2010, AI Summit |
| date | 2010 |
| url | https://gdcvault.com/play/1012410/Improving-AI-Decision-Modeling-Through |
| accessed | 2026-10-24 |

## Notes

Argues that if-then logic makes agent decisions switch abruptly; proposes utility theory with response curves, population distributions, and weighted random selection for more natural decisions, wider action ranges, and better edge-case handling.

## Backlinks (computed)

**cited by:** [Utility action selection](../mechanic/utility-action-selection.md)

## Citation

Kevin Dill, Dave Mark (2010). *Improving AI Decision Modeling Through Utility Theory*. Game Developers Conference 2010, AI Summit https://gdcvault.com/play/1012410/Improving-AI-Decision-Modeling-Through

---
Provenance: created in run `2026-10-24-taxonomy-m3`.