This volume presents the proceedings of the Fourth International Workshop on Analogical and Inductive Inference (AII 94) and the Fifth International Workshop on Algorithmic Learning Theory (ALT 94), held jointly at Reinhardsbrunn Castle, Germany in October 1994. (In future the AII and ALT workshops will be amalgamated and held under the single title of Algorithmic Learning Theory.)
The book contains revised versions of 45 papers on all current aspects of computational learning theory; in particular, algorithmic learning, machine learning, analogical inference, inductive logic, case-based reasoning, and formal language learning are addressed.