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文章基本信息

  • 标题:Ideal Mechanization: Exploring the Machine Metaphor through Theory and Performance
  • 本地全文:下载
  • 作者:Amy LaViers
  • 期刊名称:Arts
  • 电子版ISSN:2076-0752
  • 出版年度:2019
  • 卷号:8
  • 期号:2
  • 页码:67-82
  • DOI:10.3390/arts8020067
  • 出版社:MDPI Publishing
  • 摘要:Models of machines, including the increasingly miniaturized, digitally controlled machines of modern computers, inform models of human and animal behavior. What are the impacts of this exchange? This paper builds on theoretical discussion to produce an artistic exploration around this idea. The paper uses known limits on computation, previously proved by Turing, to model the process of mechanization, machines interacting with an environment. This idea was used to inform a live performance that leveraged a theatrical setting emulating an ideal mechanization machine, audience participation with their bodies as well as their personal cell phones, and readings of academic papers, which is also presented. The results of this work is a shared exploration of when human experience fits machine-based metaphors and, when it does not, highlighting distinct strengths and questioning how to measure the capacities of natural and artificial behavior.
  • 关键词:interactive performance; robotics; human motion; Turing Machines interactive performance ; robotics ; human motion ; Turing Machines
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