# Scalable decision-making method for imperfect-information games

A Nature study presents a scalable approach to decision-making in games where players do not have complete information. These games are harder than perfect-information games like chess because they require reasoning under uncertainty. Progress could improve AI systems for real-world strategic tasks such as negotiation, security, and auctions.

**Importance:** 3/5

## Sources

### Science
- [Nature](https://www.nature.com/articles/s41586-026-11036-y) — 2026-09-30