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Connection Science Volume 29, 2017 - Issue 4: Computational Creativity : Progress and Limitations
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Original Articles

Swarmic autopoiesis and computational creativity

Mohammad Majid al-RifaieDepartment of Computing, Goldsmiths, University of London, London, UKCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-1798-9615
ORCID Icon,
Frédéric Fol LeymarieDepartment of Computing, Goldsmiths, University of London, London, UK
,
William LathamDepartment of Computing, Goldsmiths, University of London, London, UK
&
Mark BishopDepartment of Computing, Goldsmiths, University of London, London, UK
Pages 276-294 | Received 05 Sep 2016, Accepted 17 Dec 2016, Published online: 16 Jan 2017

Citations (7)

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Read on this site (1)

J. Mark Bishop & Mohammad M. al-Rifaie. (2017) Autopoiesis, creativity and dance. Connection Science 29:1, pages 21-35.
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Articles from other publishers (6)

Mohammad Majid al-Rifaie & Marc Cavazza. (2022) Evolutionary Optimisation of Beer Organoleptic Properties: A Simulation Framework. Foods 11:3, pages 351.
Crossref
Mohammad Majid al-Rifaie. (2021) Exploration and Exploitation Zones in a Minimalist Swarm Optimiser. Entropy 23:8, pages 977.
Crossref
Mohammad Majid al-Rifaie. (2021) Investigating Knowledge-Based Exploration-Exploitation Balance in a Minimalist Swarm Optimiser. Investigating Knowledge-Based Exploration-Exploitation Balance in a Minimalist Swarm Optimiser.
Prashant Aparajeya, Frederic Fol Leymarie & Mohammad Majid al-Rifaie. 2019. Computational Intelligence in Music, Sound, Art and Design. Computational Intelligence in Music, Sound, Art and Design 69 83 .
Oroojeni M. J. Hooman, Mohammad Majid Al-Rifaie & Mihalis A. Nicolaou. (2018) Deep Neuroevolution: Training Deep Neural Networks for False Alarm Detection in Intensive Care Units. Deep Neuroevolution: Training Deep Neural Networks for False Alarm Detection in Intensive Care Units.
Mohammad Majid al-Rifaie, Anna Ursyn, Robert Zimmer & Mohammad Ali Javaheri Javid. 2017. Computational Intelligence in Music, Sound, Art and Design. Computational Intelligence in Music, Sound, Art and Design 17 32 .

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