Quality diversity (QD) algorithms such as MAP-Elites have emerged as a powerful
alternative to traditional single-objective optimization methods. They were initially applied to …

Games, whether educational or recreational, are meant to be fun. How do we ensure that the
game delivers its intent? The answer to this question is playtesting. However, a haphazard …

Real-world problems are often affected by uncertainties of different types and from multiple
sources. Algorithms created for expensive optimisation, such as model-based optimisers …

Elements of randomness are a very common factor in modern digital games, from simple
rolls of a die to complex AI systems. These elements have an impact on how the player …

The question of whether the correct algorithm is used for the problem at hand usually comes
at the end of execution, when the algorithm's ability to solve the problem (or not) can be …

Tabletop role-playing Games (RPG), such as Dungeons & Dragons (D&D) use dice in order
to control the outcome actions by characters when the Game Master needs to introduce …

Dice since the classical era have been some of the most popular object in games, with
examples of six sized dice as we know them found in Egyptian grave goods and Roman …

Mechanics involving the roll of multiple dice---a" dice pool"---commonly appear in tabletop
board games and role-playing games. Existing general-purpose dice pool probability …

We introduce several deck of cards and dice models that can be used to represent
stochastic outcomes in tabletop games. We analyze these using a toy game introduced as a …

The analysis of games or game content, eg in the context of AI-assisted game design and
search-based PCG, is often based on playthroughs that are generated by simulating human …