Monte Carlo tree search: A review of recent modifications and applications
Abstract Monte Carlo Tree Search (MCTS) is a powerful approach to designing game-
playing bots or solving sequential decision problems. The method relies on intelligent tree …
playing bots or solving sequential decision problems. The method relies on intelligent tree …
A survey of planning and learning in games
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 …
intelligent agents and are a popular domain in the study of artificial intelligence. In fact …
Objective difficulty-skill balance impacts perceived balance but not behaviour: A test of flow and self-determination theory predictions
Flow and self-determination theory predict that game difficulty in balance with player skill
maximises enjoyment and engagement, mediated by attentive absorption or competence …
maximises enjoyment and engagement, mediated by attentive absorption or competence …
Monte-carlo tree search for implementation of dynamic difficulty adjustment fighting game ais having believable behaviors
M Ishihara, S Ito, R Ishii, T Harada… - … IEEE Conference on …, 2018 - ieeexplore.ieee.org
In this paper, we propose a Monte-Carlo Tree Search (MCTS) fighting game AI capable of
dynamic difficulty adjustment while maintaining believable behaviors. This work targets …
dynamic difficulty adjustment while maintaining believable behaviors. This work targets …
Finding game levels with the right difficulty in a few trials through intelligent trial-and-error
Methods for dynamic difficulty adjustment allow games to be tailored to particular players to
maximize their engagement. However, current methods often only modify a limited set of …
maximize their engagement. However, current methods often only modify a limited set of …
Diversifying dynamic difficulty adjustment agent by integrating player state models into Monte-Carlo tree search
Game developers have employed dynamic difficulty adjustment (DDA) in designing game
artificial intelligence (AI) to improve players' game experience by adjusting the skill of game …
artificial intelligence (AI) to improve players' game experience by adjusting the skill of game …
Dynamic difficulty adjustment approaches in video games: a systematic literature review
Providing an appropriate difficulty level in a game is critical for kee** players engaged.
Dynamic Difficulty Adjustment (DDA) is a common approach for optimizing player …
Dynamic Difficulty Adjustment (DDA) is a common approach for optimizing player …
Fuzzy-based dynamic difficulty adjustment of an educational 3D-game
An educational game aims to employ the pleasant and fascinating environment of a game
for educational purpose. However, when the game's educational content or playing …
for educational purpose. However, when the game's educational content or playing …
Difficulty-skill balance does not affect engagement and enjoyment: a pre-registered study using artificial intelligence-controlled difficulty
How does the difficulty of a task affect people's enjoyment and engagement? Intrinsic
motivation and flow theories posit a 'goldilocks' optimum where task difficulty matches …
motivation and flow theories posit a 'goldilocks' optimum where task difficulty matches …
Rethinking dynamic difficulty adjustment for video game design
Abstract Dynamic Difficulty Adjustment (DDA) has garnered significant interest in game
research fields for many years. Despite high expectations, the effectiveness of DDA in …
research fields for many years. Despite high expectations, the effectiveness of DDA in …