PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Classification on Graphs for Dynamic Difficulty Adjustment: More Questions Than Answers
Olana Missura and Thomas Gaertner
In: SIM 2009 (SRL+ILP+MLG 2009) Workshop, 2 - 4 July 2009, Leuven, Belgium.

Abstract

Motivated by a problem of dynamic difficulty adjustment in computer games, we propose a new learning setting. We argue that video games require a mechanism for dynamic difficulty adjustment. Such mechanism can be formulated as a classification problem on a graph that combines the properties of online and active learning. The main contribution of this paper is the clarification of this novel learning setting and a summary of open questions.

PDF - Requires Adobe Acrobat Reader or other PDF viewer.
EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:6151
Deposited By:Olana Missura
Deposited On:08 March 2010