Personalised gaming: a motivation and overview of literature
This article focuses on personalised games, which we define as games that utilise player
models for the purpose of tailoring the game experience to the individual player. The main …
models for the purpose of tailoring the game experience to the individual player. The main …
Adaptivity challenges in games and simulations: a survey
R Lopes, R Bidarra - … on Computational Intelligence and AI in …, 2011 - ieeexplore.ieee.org
In computer games and simulations, content is often rather static and rigid. As a result, its
prescripted nature can lead to predictable and impersonal gameplay, while alienating …
prescripted nature can lead to predictable and impersonal gameplay, while alienating …
Player modeling
Player modeling is the study of computational models of players in games. This includes the
detection, modeling, prediction and expression of human player characteristics which are …
detection, modeling, prediction and expression of human player characteristics which are …
Player behavioural modelling for video games
Player behavioural modelling has grown from a means to improve the playing strength of
computer programs that play classic games (eg, chess), to a means for impacting the player …
computer programs that play classic games (eg, chess), to a means for impacting the player …
Generating missions and spaces for adaptable play experiences
J Dormans, S Bakkes - … on Computational Intelligence and AI in …, 2011 - ieeexplore.ieee.org
This paper investigates strategies to generate levels for action-adventure games. For this
genre, level design is more critical than for rule-driven genres such as simulation or rogue …
genre, level design is more critical than for rule-driven genres such as simulation or rogue …
Game strategies for physical robot soccer players: a survey
Effective team strategies and joint decision-making processes are fundamental in modern
robotic applications, where multiple units have to cooperate to achieve a common goal. The …
robotic applications, where multiple units have to cooperate to achieve a common goal. The …
[HTML][HTML] Player-centered game AI from a flow perspective: Towards a better understanding of past trends and future directions
Player-centered approaches that aim to maximize player enjoyment have been steady, but
with poor heuristics that do not rely on any particular theory of entertainment. Certainly, the …
with poor heuristics that do not rely on any particular theory of entertainment. Certainly, the …
Connectionist reinforcement learning for intelligent unit micro management in starcraft
Real Time Strategy Games are one of the most popular game schemes in PC markets and
offer a dynamic environment that involves several interacting agents. The core strategies …
offer a dynamic environment that involves several interacting agents. The core strategies …
Research on opponent modeling framework for multi-agent game confrontation
J Luo, W Zhang, W Yuan, Z Hu… - Journal of …, 2022 - dc-china-simulation …
As the key technology of multi-agent game confrontation, opponent modeling is a typical
cognitive modeling method of agent's behavior. Several typical models of multi-agent game …
cognitive modeling method of agent's behavior. Several typical models of multi-agent game …
Recommender algorithms in activity motivating games
Physical activity motivating game design encourages players to perform real physical activity
in order to gain virtual game rewards. Previous research into activity motivating games …
in order to gain virtual game rewards. Previous research into activity motivating games …