Modeling and predicting player behavior is of the utmost importance in developing games.
Experience has proven that, while theory-driven approaches are able to comprehend and …

As video games are becoming more and more complex and are reaching a broader
audience, there is an increasing interest in procedures to analyze player behavior and the …

Recent years have seen a growing interest in player modeling for digital games. Goal
recognition, which aims to accurately recognize players' goals from observations of low-level …

Game-based learning environments (GBLEs) have been touted as the solution for failing
educational outcomes. In this study, we address some of these major issues by using multi …

Intelligent game-based learning environments integrate commercial game technologies with
AI methods from intelligent tutoring systems and intelligent narrative technologies. This …

While many open-ended digital games feature non-linear storylines and multiple solution
paths, it is challenging for game developers to create effective game experiences in these …

We introduce a research framework for the design of interactive experiences in the domain
of emergent narrative, an application area of computational narrative in which stories …

Goal recognition design involves the offline analysis of goal recognition models by
formulating measures that assess the ability to perform goal recognition within a model and …

Recent years have seen a growing interest in player modeling to create player-adaptive
digital games. As a core player-modeling task, goal recognition aims to recognize players' …

Machine learning models are biased toward data seen during the training steps. The models
will tend to give good results in classes where there are many examples and poor results in …