  This paper describes a preliminary approach to algorithmically reproduce the
archetypical structure adopted by humans to classify sounds. In particular, we
propose an approach to predict the human perceived chaos/order level in a sound
and synthesize new timbres that present the desired amount of this feature. We
adopted a Neural Network based method, in order to exploit its inner
predisposition to model perceptive and abstract features. We finally discuss
the obtained accuracy and possible implications in creative contexts.
