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      An Architecture for an Expressive Responsive Machine

      Electronic Visualisation and the Arts (EVA)

      Electronic Visualisation and the Arts

      9 - 13 July 2018

      Art installation, Neural networks, Markov Model, Machine creativity, Intelligent agents, Machine learning

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          Abstract

          This paper describes work in progress, an architecture for an expressive machine, which learns, senses and responds to its environment with ‘creative’ output. This is not to mimic a human or any other known biological organism, but an attempt to investigate what it might mean for a machine to do this ‘on its own terms’. This hardware and software system forms the functional core of a large-scale interactive art installation, which plays with transduction between the material and non-material worlds, and between signals/stimuli in multiple forms. The meaning of ‘expression’ is discussed in reference to the machine. Some recent artworks from other artists are briefly reviewed, artworks which also employ a machine’s-eye view of the world. I discuss what expression might mean for these machines, and who or what might be the intended audience. Following from the artistic impetus for my work, the design rationale for the machine is presented. A modular architecture, with asynchronous messaging, allows for experimentation with various methods of pattern recognition, sensing and activation. Some sensing and expression modes are described in more detail. A neural network is trained to process live video input stream, to ‘taste’ what the machine is seeing in the world. A Responsive Markov Model is developed, with an automated method to extract vocabulary from selected sources (amongst others, Shakespeare’s sonnets and Molly Bloom’s ending monologue in James Joyce’s Ulysses) and the ability to respond to particular stimuli, in real time, in generating new texts.

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          Author and article information

          Contributors
          Conference
          July 2018
          July 2018
          : 96-103
          Affiliations
          Computing Department

          Goldsmiths, University of London, UK
          Article
          10.14236/ewic/EVA2018.18
          © Dekker. Published by BCS Learning and Development Ltd. Proceedings of EVA London 2018, UK

          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/

          Electronic Visualisation and the Arts
          EVA
          London, UK
          9 - 13 July 2018
          Electronic Workshops in Computing (eWiC)
          Electronic Visualisation and the Arts
          Product
          Product Information: 1477-9358BCS Learning & Development
          Self URI (journal page): https://ewic.bcs.org/
          Categories
          Electronic Workshops in Computing

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