David L. Roberts, Christina R. Strong, Charles L. Isbell
We explore an approach for inferring player preference functions for interactive entertainment. The goal is to be adaptive and scalable by extracting the function through observation, and using a vocabulary that can be understood by game authors rather than depend upon the quirks of individual players. We demonstrate our approach for a number of simulated players in two simulated game environments and present results from an initial feasibility study.
Subjects: 1. Applications; 3.4 Probabilistic Reasoning
Submitted: Apr 13, 2007