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Abstract: "In on-line role-playing games (RPG), each race holds some attributes and skills. Each skill contains several abilities such as physical damage, hit rate, etc. Parts of the attributes and all the abilities are a function of the character's level, which are called Ability-Increasing Functions (AIFs). A well-balanced on-line RPG is characterized by having a set of well-balanced AIFs. In this paper, we propose an evolutionary design method, including integration with an improved Probabilistic Incremental Program Evolution (PIPE) and a Cooperative Coevolutionary Algorithm (CCEA), for on-line RPGs to maintain the game balance. Moreover, we construct a simplest turn-based game model and perform a series of experiments based on it. The results indicate that the proposed method is able to obtain a set of well-balanced AIFs effi-ciently. They also show that in this case the CCEA outperforms the simple genetic algorithm, and that the capability of PIPE has been significantly improved through the improvement work."

"Physics engines have created a whole new source of emergence and fun for digital games. Water simulation could add another similar emergent interaction element, but it is currently only rarely used as a part of gameplay. The reasons for this are analysed and different water simulation methods are compared, focusing on actual game usage. Based on this, we suggest using the extremely simple but fast pipe model. The simplicity of the underlying simulation can be masked in many ways using modern shader effects and other tricks. An example of the pipe method in action is given and compared to more sophisticated fluid solvers."