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      Artificial Intelligence and Problems in Generative Art Theory

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      proceedings-article
      Author(s):
      Publication date (Print):
      Conference name: Proceedings of EVA London 2019 (EVA 2019)
      Conference theme: Electronic Visualisation and the Arts
      Conference date: 8 - 11 July 2019
      Keywords: Art theory, Generative art, Neural networks, Inceptionism, Deep learning, Artificial intelligence, Complexity theory
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            Abstract

            Content

            Author and article information

            Contributors
            Philip Galanter
            Conference
            Publication date: July 2019
            Publication date (Print): July 2019
            Pages: 112-118
            Affiliations
            [0001]Texas A&M University

            College Station, TX, USA
            Article
            DOI: 10.14236/ewic/EVA2019.22
            SO-VID: e14c8834-1858-468b-934d-1fa646c4711e
            Copyright © © Galanter. Published by BCS Learning and Development Ltd. Proceedings of EVA London 2019, UK
            License:

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Conference name: Proceedings of EVA London 2019
            Conference acronym: EVA 2019
            Conference number:
            Conference location: London, UK
            Conference date: 8 - 11 July 2019
            Conference sponsor: Electronic Workshops in Computing (eWiC)
            Conference theme: Electronic Visualisation and the Arts
            History
            Product

            1477-9358 BCS Learning & Development

            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/EVA2019.22
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Series title: Electronic Workshops in Computing

            ScienceOpen disciplines: Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction
            Keywords: Neural networks,Art theory,Deep learning,Complexity theory,Artificial intelligence,Inceptionism,Generative art

            REFERENCES

            1. 2002 From a Modern Human’s Brow – or Doodling? Science 295 47 248

            2. 1994 Simulacra and simulation Ann Arbor University of Michigan Press

            3. 2004 The creative mind: myths and mechanisms London Routledge

            4. 1999 Philosophy of art: a contemporary introduction London Routledge

            5. 2003 What is Generative Art? Complexity theory as a context for art theory International Conference on Generative Art Milan, Italy 2003 Generative Design Lab, Milan Polytechnic Art

            6. 2009a Thoughts on Computational Creativity Computational Creativity: An Interdisciplinary Approach Dagstuhl Germany 2009 Schloss Dagstuhl – Leibniz-Zentrum fuer Informatik Germany

            7. 2009b Truth to Process – Evolutionary Art and the Aesthetics of Dynamism International Conference on Generative Art Milan, Italy 2009 Generative Design Lab, Milan Polytechnic Art

            8. 2016a Generative Art Theory A Companion to Digital Art John Wiley & Sons Hoboken

            9. 2016b An introduction to complexism Technoetic Arts: A Journal of Speculative Research 14 1-2 9 31

            10. 1995 What is complexity? Complexity – John Whiley and Sons 1 1 1619

            11. 2015 Inceptionism: Going Deeper into Neural Networks http://googleresearch.blogspot.com/2015/06/inceptionism-going-deeper-into-neural.html retreived November 11 2015 )

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