Cases and Clusters in Reuse Policies for DecisionMaking in Card Games This work investigates the combination of cases and clusters in the reuse of game actions (e.g., cards played, bets made) recorded in the cases retrieved for a given query in Casebased Reasoning (CBR) cardplaying agents. With the support of the KMEANS clustering algorithm, clustering results detailing problem statessituations and game outcomes relationships recorded in cases from the case base guide the execution of augmented reuse policies. These policies consider the game actions recorded in the retrieved cases in the selection of the clusters to be used. Then, the cases that belong to the selected clusters are used in the determination of which game action is reused as a solution to the current game problem situation. With this twostep reuse process, the proposed policies rely on the majority with clusters, the probability with clusters, the number of points won with clusters and the chance of victory with clusters. To evaluate these proposals, cardplaying agents implemented with different reuse policies competed against each other in duplicated game matches where all of them played using the same set of cards.

Retrieval of Relevant Data for Measuring the Impact of SpacedRepetition Algorithms on the Learning Success in Mobile Learning Games This paper presents an approach on how to retrieve relevant data from a huge set of gamedata in order to find evidence for the impact of using spacedrepetition algorithms on the learning success in a mobile learning game. After having collected approximately 12 million sets of playing data, the database needs to be preprocessed before analyzing it in order to filter out any data that is irrelevant or useless for our analysis or may even dilute its results. One structured and established way to do this is to follow the KDD process, which includes several consecutive steps of consolidating the available data, with preprocessing it being one of them. In order to be able to define the data were are looking for, we set up some proposals about how the relevant data should look like and how to retrieve it from our database.