Algorithmic Learning: Formal Models and Prototypical Applications

The vision of assistance systems is to use machines not merely as tools bu ta si ntelligent assistants with which humans can solv et heir tasks cooperatively . The approach considered belo wi st oe nhance the required machine-human interaction by machine learning strategies. In order to enable an analytical study of the relevant general learning tasks and techniques, different formal learning models are compared and related to one another .T he capabilities of the corresponding learning algorithms are illustrated and discussed within the framework of prototypical applications.