The Art of Artificial Neural Networks:  Emergent Creativity in Artificial Intelligence

dc.contributor.advisor	Seaman, William
dc.contributor.author	Rajkumar, Vijay Gautham
dc.date.accessioned	2019-04-02T16:28:29Z
dc.date.available	2019-04-02T16:28:29Z
dc.date.issued	2018
dc.department	Art, Art History, and Visual Studies
dc.description.abstract	This M.A. thesis in Computational Media is an exploration of how artificial neural networks could be used by an artist; it is a transdisciplinary study of topics in computer science, light art and installation art. The study culminates in the design and production of two installations that attempt to respond to the question: how does one draw on high-level Artificial Intelligence algorithms and human aesthetic intuition informed by contemporary and historical research of art history, to generate a new hybrid art form?
dc.identifier.uri	https://hdl.handle.net/10161/18293
dc.subject	Artificial intelligence
dc.subject	Art history
dc.subject	Design
dc.subject	Deep learning
dc.subject	Design
dc.subject	Emergence
dc.subject	Installation Art
dc.subject	Light and Space
dc.subject	Neural networks
dc.title	The Art of Artificial Neural Networks: Emergent Creativity in Artificial Intelligence
dc.type	Master's thesis

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