Personalised gaming: a motivation and overview of literature

S Bakkes, CT Tan, Y Pisan - … of the 8th Australasian Conference on …, 2012 - dl.acm.org
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 …

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 …

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 …

Player behavioural modelling for video games

SCJ Bakkes, PHM Spronck, G van Lankveld - Entertainment Computing, 2012 - Elsevier
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 …

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 …

Game strategies for physical robot soccer players: a survey

E Antonioni, V Suriani, F Riccio… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

[HTML][HTML] Player-centered game AI from a flow perspective: Towards a better understanding of past trends and future directions

CA Cruz, JAR Uresti - Entertainment Computing, 2017 - Elsevier
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 …

Connectionist reinforcement learning for intelligent unit micro management in starcraft

A Shantia, E Begue, M Wiering - The 2011 international joint …, 2011 - ieeexplore.ieee.org
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 …

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 …

Recommender algorithms in activity motivating games

S Berkovsky, J Freyne, M Coombe… - Proceedings of the fourth …, 2010 - dl.acm.org
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 …