This book comprises three parts. In Part I (Chaps. 2–7) we sketch the basic concepts andarchitecture of metalearning systems, especially focusing on which types of “metaknowl-edge” can be collected by observing the performance of different models on prior tasksand how this can be used within metalearning approaches to learn new tasks more effi-ciently. Since this type of metalearning is c…