In this paper, biological (human) music composition systems based on Time Delay Neural Networks and Ward Nets and on a probabilistic
Finite-State Machine will be presented. The systems acquire musical knowledge by inductive learning and are able to produce
complete musical scores for multiple instruments and actual music in the MIDI format. The quality of our approaches is analyzed
in objective and subjective manner with existing techniques.
Keywords Biological Inspired Music - Music Composition - Representation Techniques - Comparative Analysis - Time Delay Neural Networks - Finite State Machines - Inductive Learning