Dynamic difficulty adjustment (DDA) is a method of automatically modifying a game's
features, behaviors, and scenarios in real‐time, depending on the player's skill, so that the …

The focus of this survey is on research in applying evolutionary and other metaheuristic
search algorithms to automatically generating content for games, both digital and nondigital …

Georgios N. Yannakakis Julian Togelius Page 1 Artificial Intelligence and Games Georgios N.
Yannakakis Julian Togelius Page 2 Artificial Intelligence and Games Page 3 Georgios N …

Automated vehicles (AVs) are deemed to be the key element for the intelligent transportation
system in the future. Many studies have been made to improve AVs' ability of environment …

In this paper, we use computational intelligence techniques to built quantitative models of
player experience for a platform game. The models accurately predict certain key affective …

Evolutionary algorithms are commonly used to create high-performing strategies or agents
for computer games. In this paper, we instead choose to evolve the racing tracks in a car …

A methodology for optimizing player satisfaction in games on the" playware" physical
interactive platform is demonstrated in this paper. Previously constructed artificial neural …

Evoking a complex emotional response in players is a characteristic trait of successful
interactive entertainment, and different models have been proposed to help designers in …

Psycho-physiological analysis has gained greater attention in the last few decades in
various fields including multimodal systems. Researchers use psychophysiological …

In this paper we aim at automatically adjusting the difficulty of computer games by clustering
players into different types and supervised prediction of the type from short traces of …