Swarmic autopoiesis and computational creativity
In this paper two swarm intelligence algorithms are used, the first leading the “attention” of the swarm and the latter responsible for the tracing mechanism. The attention mechanism is coordinated by agents of Stochastic Diffusion Search where they selectively attend to areas of a digital canvas (w...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2017-10-01
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| Series: | Connection Science |
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| Online Access: | http://dx.doi.org/10.1080/09540091.2016.1274960 |
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| author | Mohammad Majid al-Rifaie Frédéric Fol Leymarie William Latham Mark Bishop |
| author_facet | Mohammad Majid al-Rifaie Frédéric Fol Leymarie William Latham Mark Bishop |
| author_sort | Mohammad Majid al-Rifaie |
| collection | DOAJ |
| description | In this paper two swarm intelligence algorithms are used, the first leading the “attention” of the swarm and the latter responsible for the tracing mechanism. The attention mechanism is coordinated by agents of Stochastic Diffusion Search where they selectively attend to areas of a digital canvas (with line drawings) which contains (sharper) corners. Once the swarm's attention is drawn to the line of interest with a sharp corner, the corresponding line segment is fed into the tracing algorithm, Dispersive Flies Optimisation which “consumes” the input in order to generate a “swarmic sketch” of the input line. The sketching process is the result of the “flies” leaving traces of their movements on the digital canvas which are then revisited repeatedly in an attempt to re-sketch the traces they left. This cyclic process is then introduced in the context of autopoiesis, where the philosophical aspects of the autopoietic artist are discussed. The autopoetic artist is described in two modalities: gluttonous and contented. In the Gluttonous Autopoietic Artist mode, by iteratively focussing on areas-of-rich-complexity, as the decoding process of the input sketch unfolds, it leads to a less complex structure which ultimately results in an empty canvas; therein reifying the artwork's “death”. In the Contented Autopoietic Artist mode, by refocussing the autopoietic artist's reflections on “meaning” onto different constitutive elements, and modifying her reconstitution, different behaviours of autopoietic creativity can be induced and therefore, the autopoietic processes become less likely to fade away and more open-ended in their creative endeavour. |
| format | Article |
| id | doaj-art-e5d881e3f736404686bc79e7ff0251b2 |
| institution | OA Journals |
| issn | 0954-0091 1360-0494 |
| language | English |
| publishDate | 2017-10-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Connection Science |
| spelling | doaj-art-e5d881e3f736404686bc79e7ff0251b22025-08-20T02:04:02ZengTaylor & Francis GroupConnection Science0954-00911360-04942017-10-0129427629410.1080/09540091.2016.12749601274960Swarmic autopoiesis and computational creativityMohammad Majid al-Rifaie0Frédéric Fol Leymarie1William Latham2Mark Bishop3Goldsmiths, University of LondonGoldsmiths, University of LondonGoldsmiths, University of LondonGoldsmiths, University of LondonIn this paper two swarm intelligence algorithms are used, the first leading the “attention” of the swarm and the latter responsible for the tracing mechanism. The attention mechanism is coordinated by agents of Stochastic Diffusion Search where they selectively attend to areas of a digital canvas (with line drawings) which contains (sharper) corners. Once the swarm's attention is drawn to the line of interest with a sharp corner, the corresponding line segment is fed into the tracing algorithm, Dispersive Flies Optimisation which “consumes” the input in order to generate a “swarmic sketch” of the input line. The sketching process is the result of the “flies” leaving traces of their movements on the digital canvas which are then revisited repeatedly in an attempt to re-sketch the traces they left. This cyclic process is then introduced in the context of autopoiesis, where the philosophical aspects of the autopoietic artist are discussed. The autopoetic artist is described in two modalities: gluttonous and contented. In the Gluttonous Autopoietic Artist mode, by iteratively focussing on areas-of-rich-complexity, as the decoding process of the input sketch unfolds, it leads to a less complex structure which ultimately results in an empty canvas; therein reifying the artwork's “death”. In the Contented Autopoietic Artist mode, by refocussing the autopoietic artist's reflections on “meaning” onto different constitutive elements, and modifying her reconstitution, different behaviours of autopoietic creativity can be induced and therefore, the autopoietic processes become less likely to fade away and more open-ended in their creative endeavour.http://dx.doi.org/10.1080/09540091.2016.1274960creativityautopoiesisstochastic diffusion searchdispersive flies optimisationgenerative art |
| spellingShingle | Mohammad Majid al-Rifaie Frédéric Fol Leymarie William Latham Mark Bishop Swarmic autopoiesis and computational creativity Connection Science creativity autopoiesis stochastic diffusion search dispersive flies optimisation generative art |
| title | Swarmic autopoiesis and computational creativity |
| title_full | Swarmic autopoiesis and computational creativity |
| title_fullStr | Swarmic autopoiesis and computational creativity |
| title_full_unstemmed | Swarmic autopoiesis and computational creativity |
| title_short | Swarmic autopoiesis and computational creativity |
| title_sort | swarmic autopoiesis and computational creativity |
| topic | creativity autopoiesis stochastic diffusion search dispersive flies optimisation generative art |
| url | http://dx.doi.org/10.1080/09540091.2016.1274960 |
| work_keys_str_mv | AT mohammadmajidalrifaie swarmicautopoiesisandcomputationalcreativity AT fredericfolleymarie swarmicautopoiesisandcomputationalcreativity AT williamlatham swarmicautopoiesisandcomputationalcreativity AT markbishop swarmicautopoiesisandcomputationalcreativity |