Opponent modeling is a key challenge in Real-Time Strategy (RTS) games as the environment is adversarial in these games, and the player cannot predict the future actions of her opponent. Additionally, the environment is partially observable due to the fog of war. In this paper, we propose an opponent model which is robust to the observation noise existing due to the fog of war. In order to cope...

Schema theory provides a foundation for the analysis of game play patterns created by players during their interaction with a game. Schema models derived from the analysis of play provide a rich explanatory framework for the cognitive processes underlying game play, as well as detailed hypotheses for the hierarchical structure of pleasures and rewards motivating players. Game engagement is acco...

Personality has an impact on user’s behaviour in information systems, and adaptive systems that model these features can provide better user experience. Adding fun to the mix is making games even more intriguing objects of study. In our project we explore user profiling options of computer games by examining how game features and personality traits affect user (player) engagement and game play....

Biocybernetic adaptation is a form of physiological computing whereby real-time data streaming from the brain and body is used by a negative control loop to adapt the user interface. This article describes the development of an adaptive game system that is designed to maximize player engagement by utilizing changes in real-time electroencephalography (EEG) to adjust the level of game demand. Th...

Unsupervised online learning in commercial computer games allows computer-controlled opponents to adapt to the way the game is being played, thereby providing a mechanism to deal with weaknesses in the game AI and to respond to changes in human player tactics. For online learning to work in practice, it must be fast, effective, robust, and efficient. This paper proposes a novel technique called...

Balance design taking game difficulty into account has an important role in game design. In recent years, a number of studies have tried to adjust difficulty by using various player dependent difficulty detection algorithms. But most of these methods need customizing its algorithm for each game. In this paper, we investigate the way to find adaptive game difficulty levels according to player’s ...

Online learning in commercial computer games allows computer-controlled opponents to adapt to human player tactics. For online learning to work in practice, it must be fast, effective, robust, and efficient. This paper proposes a technique called “dynamic scripting” that meets these requirements. In dynamic scripting an adaptive rule-base is used for the generation of intelligent opponents on t...