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Robot Creativity: Humanlike Behaviour in the Robot-Robot Interaction

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Science and Technologies for Smart Cities (SmartCity 360 2019)

Abstract

Artificial Intelligence development is mainly directed toward imitating human reasoning and performing different tasks. For that purpose, related software and program solution where artificial intelligence is used have mostly thinking abilities. However, there are many questions to answer in ongoing AI research, especially when we come to the point which is addressing humanlike behaviour and reasoning triggered by emotions. In this paper, we are presenting an interactive installation Botorikko: Machine Create State, which is part of the Syntropic Counterpoints art/research project. We are exposing AI cyber clones to some of the fundamental questions for humankind and challenge their creativity. The robots are trained by using the publications Machiavelli and Sun Tzu and confronted to the crucial questions related to moral, ethic, strategy, politics, diplomacy, war etc. We are using a recurrent neural network (RNN) and robot-robot interaction to trigger unsupervised robot creativity and humanlike behaviour on generated machine-made content.

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Acknowledgement

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

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Correspondence to Predrag K. Nikolić .

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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Nikolić, P.K., Md Tomari, M.R. (2020). Robot Creativity: Humanlike Behaviour in the Robot-Robot Interaction. In: Santos, H., Pereira, G., Budde, M., Lopes, S., Nikolic, P. (eds) Science and Technologies for Smart Cities. SmartCity 360 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 323. Springer, Cham. https://doi.org/10.1007/978-3-030-51005-3_29

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  • DOI: https://doi.org/10.1007/978-3-030-51005-3_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-51004-6

  • Online ISBN: 978-3-030-51005-3

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