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Vendmaster: A language game between machines and people.

机译:Vendmaster:机器与人之间的语言游戏。

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摘要

This thesis is about an intelligent machine that is designed to become a social commentary on the use of language in establishing boundaries between machines and people. Modeled like a language game played between a machine and human players, the document discusses the design of Vendmaster, an augmented candy dispenser that intends to problematize the relationship between native and non-native speakers to allow them reverse roles and exchange perspectives to become aware of each other's world. Within the ubiquitous culture of vending, standardized food and language, the project brings into attention the ways the dominant culture suppresses the other (in this case with the use of language) and sets Vendmaster as an intelligent reminder. Here, the focus in both on the design of an intelligent machine (by using machine learning and pattern recognition methods) and also the communication of this intelligence, to render a human-like learner and teacher in the eye of the beholder. The goal is to articulate on the different uses and understandings of intelligence to communicate the underlying concept and hopefully open up new ways to think about critical machines that can contribute to the everyday machine culture with more artistic, social, cultural and political responsibilities.
机译:这篇论文是关于一种智能机器的,该机器旨在成为在使用语言建立机器与人之间的界限时的社会评论。该文档的建模类似于机器与人类玩家之间的语言游戏,讨论了Vendmaster的设计,Vendmaster是一种增强型糖果分配器,旨在对母语和非母语人士之间的关系进行质疑,以使他们互换角色并交换观点以意识到彼此的世界。在无处不在的自动售货文化,标准化的食物和语言文化中,该项目引起了人们的注意,即主导文化压制另一种文化的方式(在这种情况下,是通过使用语言),并将Vendmaster设置为智能提醒。在这里,我们不仅要关注智能机器的设计(通过使用机器学习和模式识别方法),而且还要关注这种智能的交流,以便在旁观者眼中呈现出像人一样的学习者和老师。目的是阐明对情报的不同用法和理解,以传达基本概念,并希望开辟新的方式来思考关键机器,这些机器可以承担更多的艺术,社会,文化和政治责任,从而有助于日常机器文化。

著录项

  • 作者

    Telhan, Orkan.;

  • 作者单位

    State University of New York at Buffalo.$bMedia Study.;

  • 授予单位 State University of New York at Buffalo.$bMedia Study.;
  • 学科 Fine Arts.; Engineering Robotics.; Artificial Intelligence.
  • 学位 M.F.A.
  • 年度 2008
  • 页码 49 p.
  • 总页数 49
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 艺术;人工智能理论;
  • 关键词

  • 入库时间 2022-08-17 11:39:27

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