“Computational Serendipity in Generative Art” presented by Vuori


Presentation Title:

  • Computational Serendipity in Generative Art



  • Computational serendipity is a method to generate and introduce desirable variability in generative art and storytelling, without sacrificing authorship but rather making it a manageable concept. What we, as creators desire, is a controllable amount of randomization, that juxtaposes well with the original intent and materials, and thus creates well behaved and enjoyable elements of surprise or variation.

    Using experiences acquired from generative storytelling in implementing computational models for narration and improvisation on top of multidimensional ontological data, we can explore possible options to design behaviour, context awareness, and dynamic personalities for adaptive, interactive, and participatory systems and actors.

    When the technological complexity and computational potential of autonomous systems increase exponentially, the role of interaction designers evolves from designing simple reactive interfaces to directing individual improvising actors, that adapt, adjust and fit into our world. The technology is in itself neutral, but the algorithms are not. We, as designers, make judgements in how we teach and direct these autonomous agents to act and react.