Modeling Creativity: Case Studies in Python
  Modeling Creativity (doctoral dissertation, 2013) explores how creativity can
be represented using computational approaches. Our aim is to construct computer
models that exhibit creativity in an artistic context, that is, that are
capable of generating or evaluating an artwork (visual or linguistic), an
interesting new idea, a subjective opinion. The research was conducted in
2008-2012 at the Computational Linguistics Research Group (CLiPS, University of
Antwerp) under the supervision of Prof. Walter Daelemans. Prior research was
also conducted at the Experimental Media Research Group (EMRG, St. Lucas
University College of Art & Design Antwerp) under the supervision of Lucas
Nijs.
  Modeling Creativity examines creativity in a number of different
perspectives: from its origins in nature, which is essentially blind, to humans
and machines, and from generating creative ideas to evaluating and learning
their novelty and usefulness. We will use a hands-on approach with case studies
and examples in the Python programming language.
