A re-examination of computational creativity through non-human animals

Abstract

The advancement of artificial intelligence suggests signs of computational creativity; however, the case for computational creativity is undermined by an anthropocentric bias. In this thesis, I attempt to broaden the theory of creativity in artificial intelligence by drawing observations from examples of non-human animal creativity. I also illustrate how this works in parallel with the 4E cognition theory. I conclude that addressing the underlying anthropocentric bias in evaluation of creativity in this way (1) allows a stronger case for computational creativity and (2) develops a more informed theory of creativity.