A versatile model for music creation utilizing tension states

We investigates novel methods for creating systems for assisting musical composing. In this presentation we describe some previously neglected problem areas in musical structure analysis: knowledge-based computational expectation mapping and narrative-based structure. We also investigate how results from musical pattern analysis might be used for predicting human cognitive processing of general commonsense domains in everyday life. We conclude with a statement of how investigating music can lead to insights in other fields of cognitive science.