Discovery learning in intelligent tutoring systems -- From inductive inference to algorithmic learning theory -- A stochastic approach to genetic information processing -- On learning systolic languages -- A note on the query complexity of learning DFA -- Polynomial-time MAT learning of multilinear logic programs -- Iterative weighted least squares algorithms for neural networks classifiers -- Domains of attraction in autoassociative memory networks for character pattern recognition -- Regularization learning of neural networks for generalization -- Competitive learning by entropy minimization -- Inductive inference with bounded mind changes -- Efficient inductive inference of primitive Prologs from positive data -- Monotonic language learning -- Prudence in vacillatory language identification (Extended abstract) -- Implementation of heuristic problem solving process including analogical reasoning -- Planning with abstraction based on partial predicate mappings -- Learning k-term monotone Boolean formulae -- Some improved sample complexity bounds in the probabilistic PAC learning model -- An application of Bernstein polynomials in PAC model -- On PAC learnability of functional dependencies -- Protein secondary structure prediction based on stochastic-rule learning -- Notes on the PAC learning of geometric concepts with additional information.