Next Article in Journal
Technological Specificity, Transduction, and Identity in Media Mix
Next Article in Special Issue
Waves to Waveforms: Performing the Thresholds of Sensors and Sense-Making in the Anthropocene
Previous Article in Journal
Consuming Production: Anime’s Layers of Transnationality and Dispersal of Agency as Seen in Shirobako and Sakuga-Fan Practices
Previous Article in Special Issue
On Hybrid Creativity
Article Menu
Issue 3 (September) cover image

Export Article

Open AccessEditorial

Robot Art: An Interview with Leonel Moura

Artist at Robotarium/Rua Rodrigues Faria, 103 Lisbon, Portugal
Received: 16 July 2018 / Accepted: 16 July 2018 / Published: 18 July 2018
(This article belongs to the Special Issue The Machine as Artist (for the 21st Century))
PDF [3438 KB, uploaded 18 July 2018]


In the wake of his inclusion in the landmark 2018 “Artists and Robots” show at the Grand Palais in Paris, Leonel Moura reflects herein on his own work and its place within the broad spectrum of techno-art; and of particular current interest is his reliance as an artist on emergent phenomenon—i.e., the ability of relatively simple systems to exhibit relatively complex and unexpected capabilities—which has recently come back into focus with the spectacular ability of the “deep learning” family of computer algorithms to perform pattern recognition tasks unthinkable only a few years ago. View Full-Text
Keywords: art; technology; robots; techno-art; robot art; emergent phenomenon; emergence art; technology; robots; techno-art; robot art; emergent phenomenon; emergence

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Moura, L. Robot Art: An Interview with Leonel Moura. Arts 2018, 7, 28.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Arts EISSN 2076-0752 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top