Modelling Productivity with the Gradual Learning Algorithm: The Problem of Accidentally Exceptionless Generalizations

Abstract

This chapter develops a model that can handle all configurations of gradience and categoricalness. It believes that the solution lies in the tradeoff between reliability and generality. It shows how the previous approach to the problem was not enough, and suggests a novel approach using the gradual learning algorithm (GLA), adapted to more general limitations.