In general, games pose interesting and complex problems for the implementation of
intelligent agents and are a popular domain in the study of artificial intelligence. In fact …

This paper presents an overview of the existing work on AI for real-time strategy (RTS)
games. Specifically, we focus on the work around the game StarCraft, which has emerged in …

Immersive computer-generated environments (aka virtual reality, VR) are limited by the
physical space around them, eg, enabling natural walking in VR is only possible by …

Online learning in commercial computer games allows computer-controlled opponents to
adapt to the way the game is being played. As such it provides a mechanism to deal with …

We present a data mining approach to opponent modeling in strategy games. Expert
gameplay is learned by applying machine learning techniques to large collections of game …

ABSTRACT Multiplayer Online Battle Arena (MOBA) games rely primarily on combat to
determine the ultimate outcome of the game. Combat in these types of games is highly …

While several researchers have applied case-based reasoning techniques to games, only
Ponsen and Spronck (2004) have addressed the challenging problem of learning to win real …

Mainly motivated by the current lack of a qualitative and quantitative entertainment
formulation of computer games and the procedures to generate it, this article covers the …

Designing games that support knowledge and skill acquisition has become a promising
frontier of education techniques, since games are able to capture the user concentration for …

Develo** computer-controlled groups to engage in combat, control the use of limited
resources, and create units and buildings in real-time strategy (RTS) games is a novel …