The case for dynamic difficulty adjustment in games

By Robin Hunicke. IFAC Symposium on Advances in Control Education, 2005

450 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Developmental and Educational Psychology

View Paper: https://www.semanticscholar.org/paper/8d4e65644b7e874c2dcec91a4163cbdeb77aea6e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Jacek Ma'ndziuk
2. B. Sawicki
3. Maciej Swiechowski
4. K. Godlewski

Citations in the corpus

• Monte Carlo Tree Search: a review of recent modifications and applications (2021, background): “Another example of opponent modelling is Dynamic Difficulty Adjustment (DDA; Hunicke 2005).”