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Artificial Intelligence Clone Generated Content toward Robot Creativity and Machine Mindfulness

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Abstract

In the project Syntropic Counterpoints, we are using discussions between Artificial Intelligence clones to generate creative content. Nevertheless, our focus is less on content analysis and more on the beauty of creation itself and given context by the machines. We are using a different recurrent neural network (RNN), and collective creativity approaches to support interactions between Artificial Intelligence clones and trigger a humanless creative process which should lead to unsupervised robot creativity. The robots are trained by using the publications of some of the greatest thinkers of their time such as Aristotle, Nietzsche, Machiavelli, SunTzu and confronted with the crucial questions related to humankind such as the understanding of morality, aesthetics, ethnicity, strategy, politics, etc. Throughout this robot-robot interaction model, we are trying to investigate the possibilities and consider limitations of using artificial intelligence in context-based creative processes as well as to raise questions related to potential future phenomena of machine mindfulness.

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Notes

  1. The preliminary version of this paper is published in conference proceeding of the Intelligent Technologies for Interactive Entertainment Conference INTETAIN 2018 [1].

References

  1. Nikolić PK, Yang H (2019) Syntropic counterpoints: philosophical content generated between two artificial intelligence clones. In: Cortez P, Magalhães L, Branco P, Portela C, Adão T (eds) Intelligent Technologies for Interactive Entertainment. INTETAIN 2018. Lecture notes of the Institute for Computer Sciences, social informatics and telecommunications engineering, vol 273. Springer, Cham

    Google Scholar 

  2. Bostrom N, Yudkowsky E (2014) The ethics of artificial intelligence. In: The Cambridge handbook of artificial intelligence, p 316, 334

    Google Scholar 

  3. Hsu FH (1999) IBM’s deep blue chess grandmaster chips. IEEE Micro 19(2):70–81

    Article  Google Scholar 

  4. Etzioni A, Etzioni OJ (2017) Incorporating ethics into artificial intelligence. J Ethics 21(4):403–418. https://doi.org/10.1007/s10892-017-9252-2

    Article  Google Scholar 

  5. Ars electronica 2018 catalogues: error - the art of imperfection. http: //archive.aec.at/media/assets/d53d0ae6fa776b682c5f58f65ac696ab. Pdf. Accessed on 30 March 2018

  6. Nietzsche’s idea of an overman and life from his point of view, https://ccrma.stanford.edu/~pj97/Nietzsche.htm. Accessed 14 January 2018

  7. Wilcken M, Can magnanimity be made compatible with the 21st century?, http://aporia.byu.edu/pdfs/wilcken-magnanimity.pdf. Accessed 9 January 2018

  8. Nikolic PK, Yang H, Chen J, Stankevich GP (2018) Syntropic counterpoints: art of AI sense or machine made context art. In ACM SIGGRAPH 2018 Posters (p. 18). ACM

  9. d’Inverno M, McCormack J (2015) Heroic versus collaborative AI for the arts. In: Yang Q, Wooldridge M (eds) IJCAI international joint conference on artificial intelligence. AAAI Press, Palo Alto, pp 2438–2444

  10. Guthrie B (2016) Dada, Nietzsche, and the Art of Madness, <https://blakeguthrie.wordpress.com/2016/11/04/dada-nietzsche-and-the-art-of-madness/>, accessed 10 January 2018

  11. Nietzsche FW, Smith D (2000) The birth of tragedy. Oxford University Press, Oxford

    Google Scholar 

  12. Keras documentation. https://keras.io/. Accessed on 30 September 2018

  13. Tensorflow. https://www.tensorflow.org/. Accessed on 30 September 2018

  14. Welcome — flask (a python microframework). http://flask.pocoo.org/. Accessed on 30 September 2018

  15. Maher ML (2012), Computational and collective creativity: Who’s being creative? In: ICCC. 67–71. Citeseer

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Acknowledgments

We thank Marko Jovanovic, brilliant Software Engineer, who gave us technical solution and developed the Artificial Intelligence Clones we are using in the project.

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Correspondence to Predrag K. Nikolic.

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Nikolic, P.K., Yang, H. Artificial Intelligence Clone Generated Content toward Robot Creativity and Machine Mindfulness. Mobile Netw Appl 25, 1504–1513 (2020). https://doi.org/10.1007/s11036-019-01281-z

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