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    <pre style="white-space:pre-line"><code>CONCLUSION – ALIEN ARCHIVIST (ALIEN AI)  R  E  F  E  R  E     N       C       E       S


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 project, we did the opposite. The new curator (software) is programmed   BERRY, D. M. (2011). The Philosophy of Software. Code and Mediation
 so that the structure of the database gradually changes in response to   in the Digital Age. UK: Palgrave and Macmillan.
 the expanding and changing content. Also, the output in the form of a set
 of image clusters and a visualization map depicting the leitmotifs of our   Bonnefon, J. -F. & Shariff, A. & Rahwan, I. (2019). “The Trolley, The Bull Bar, and Why
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 is thus a fulfilment of the concept of a live archive not only in the sense
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 In the introduction, we used a quote in which Gilles Deleuze recalls
 Michel Foucault’s accusation of technocratic structuralism. Our curato-  DELLEUZE, G. (1999). Foucault. London: Continuum.
 rial experiment suggests that the metaphor of a new Foucaultian-type
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 network is just such a flexible structure. Its operational logic can be de-  DREYFUS, H. L. – RABINOW, P. (1982, 1983). Michel Foucault. Beyond Structuralism
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 While artificial neural networks are usually used to test preconceived   from https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16993/15929
 theories of art history, epochs, and styles (Spratt, 2018) (Elgammal et al.,   GHAHRAMANI, Z. (2004). Unsupervised Learning. BOUSQUET, O. & VON LUXBURG,
 2018), in our project, they were used in an experiment whose aim was not   U. & RÄTSCH, G. (ed.). Advanced Lectures on Machine Learning [online]. Berlin, Hei-
 to verify the validity of generally accepted claims but to discover a new   delberg: Springer Berlin Heidelberg, 2004, s. 72–112 [cit. 2022-12-21]. Lecture Notes in
 perspective on art in a global coronavirus pandemic that goes beyond   Computer Science. ISBN 978-3-540-23122-6.
                Retrieved from doi: 10.1007/978-3-540-28650-9_5
 human experience and existing knowledge. The aim was to bring to life
 the inhuman nature of the system, to provoke it to behave unpredictably   HINTON, G. E. (2006). Reducing the Dimensionality of Data with Neural Networks.
 and to place the traces of the pandemic in a post-apocalyptic story of   Science [online]. 313(5786), 2006, p. 504-507 [cit. 2022-12-21]. ISSN 0036-8075.
 humanity’s demise.  Retrieved from doi: 10.1126/science.1127647
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 artificial intelligence as such. But it is also a rejection of the positivist   Retrieved from https://github.com/fchollet/keras
 ethos that is manifested in the current tendency to use automated pro-
 cedures in processing big data in the form of digitized cultural heritage   CHOLLET, F. (2017). Xception: Deep Learning with Depthwise Separable Convolutions.
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 part of the world we inhabit.
                KREUZHUBER, K. (March 19, 2020). How AI, Big Data and Machine Learning can be
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 110                                           111</code></pre>
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