ABSTRACT
Dance is a complex and wonderful phenomenon. In science, when we study dance, we have to deal with its complexity, trying to reduce it to controllable elements and variables. Often we can address only a small part of the complex action and interaction, and it is therefore difficult to see the forest behind the individual trees. As scientists, however, we do not have a choice, we use theoretical models and methods to learn about elements and the construction of dance movements and the relationship between cognitive, motor and emotional skills in dance performance. Furthermore, we can create simulation models to replicate dance moves on a computer screen or on robots. These steps are similar to the first steps in learning a dance: there is much insecurity, and less stability and grace. Hence, dance seems to be an appropriate example to see the difference between first order reality, dance itself, and second order reality, the scientific theory of dance.
