A neural network which learns psychological internal representations

A neural network model is described which learns psychological internal representations of a set of objects in its environment. The model adopts the 'Psychological Space' theoretical construct as an appropriate model of human mental representational structure. By considering mental representations as environmental adaptations, the model internally derives the indices of psychological similarity required to construct Psychological Spaces from information provided by the environment.