*StoCreatures*

The information visualization StoCreatures interprets the New York Stock Exchange stocks as autonomous agents. Each unique stock identification code represents a digital genetic code of an individual stock being. While the genetic stock code defines the creature’s character, the changes of stock-values modify appearance and behaviour of the related stock creature.

Besides using the actual stock values, the creatures’ dynamic coexistence is executed through their current spatial configurations based on their continuous mutual value exchanges resulting in a constant update of their local relations. The reality of the StoCreatures world arises from the interactions among individual information agents who calculably proceed in their self-interests while following the system’s embraceable laws. The world is viewed as a complex pre-determined ecology of self-sustaining excited computational units engaged in absurd logical actions.

Made in collaboration with Thomas Lichtenstein.