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Emerging Technology System Evolution

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Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART 2020)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12103))

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Abstract

This paper introduces a strategy for exploring possibility spaces for creative design of emerging technology systems. These systems are represented as directed acyclic graphs with nodes representing different technologies and data or media types. The naming of system and data components is intended to be populated by a subjective, personal ontology. The source material can be simply modified by a user who wishes to explore a space of possibilities, constrained by specific resources, to generate simple visual descriptions of systems that can be quickly browsed. These dataflow visualizations are a familiar representation to those who use visual programming interfaces for creative media processing. An interactive genetic programming based approach is used with small populations of individual designs. The system is being developed using web browser technology. A minimum functionality proof of concept system has been implemented. Next steps and current challenges are discussed.

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Author information

Authors and Affiliations

  1. Ohio State University, 1813 N High Street, Columbus, OH, 43210, USA

    Matthew Lewis

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  1. Matthew Lewis
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Correspondence to Matthew Lewis .

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Editors and Affiliations

  1. University of A Coruña, A Coruña, Spain

    Juan Romero

  2. Aston University, Birmingham, UK

    Anikó Ekárt

  3. University of Coimbra, Coimbra, Portugal

    Tiago Martins

  4. University of Coimbra, Coimbra, Portugal

    João Correia

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Lewis, M. (2020). Emerging Technology System Evolution. In: Romero, J., Ekárt, A., Martins, T., Correia, J. (eds) Artificial Intelligence in Music, Sound, Art and Design. EvoMUSART 2020. Lecture Notes in Computer Science(), vol 12103. Springer, Cham. https://doi.org/10.1007/978-3-030-43859-3_5

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  • DOI: https://doi.org/10.1007/978-3-030-43859-3_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-43858-6

  • Online ISBN: 978-3-030-43859-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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