A model for deriving the ‘best’ chord from a scale according to adjustable criteria

In this paper a model which enables systematized generation of both conventional and novel chord structures utilizing resources of arbitrary scales according to a rule-based, computational approach is introduced. The implemented tool takes an input scale and by using its degrees, generates chords that conform to chosen constraints and decides the best fit regarding chosen criteria. The proposed model offers an unprecedented variety of precisely adjustable parameters to control the process. The design and organization of the model is explained giving the heuristics in all constraints and criteria, and examples of application as well as experiments for testing the model and its components are illustrated with related discussions. Ideas on further utilization of the model are also presented for future work.