Seven Pleasures of Pris (2019) Improvising Ai robot duo with Multi-Layered Perceptron Neural Nets

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dc.cclicenceCC-BY-NCen
dc.contributor.authorVear, Craig
dc.date.accessioned2020-07-09T11:03:06Z
dc.date.available2020-07-09T11:03:06Z
dc.date.issued2020-07-14
dc.description.abstractSeven Pleasures of Pris (2019) was an album project created by two performing robots embedded with a substrate AI architecture fed by the embodied music dataset discussed in Vear 2018. The two robots were programmed to respond to the other's sound and to contribute to the ongoing improvisation live and in realtime. Each robot was controlled by its own AI and created music without any human intervention. Key to the implementation of the AI was the design and development of an affect module, a system of rules, together with a non-hierarchical design in the substrate AI. The results of this experiment found that the robots were listening to each other and co-creating, and crucially doing something inside musicking that was beyond mimicry or symbolic behavioural response.en
dc.funderNo external funderen
dc.identifier.citationVear, C. (2019) Seven Pleasures of Pris (2019) Improvising Ai robot duo with Multi-Layered Perceptron Neural Nets. Available at: https://fbf4c877-a633-43a6-a8f8-182ae6c0f74b.filesusr.com/ugd/9a47a8_9571f000b6314935b6fc26be7377b081.pdfen
dc.identifier.urihttps://fbf4c877-a633-43a6-a8f8-182ae6c0f74b.filesusr.com/ugd/9a47a8_9571f000b6314935b6fc26be7377b081.pdf
dc.identifier.urihttps://dora.dmu.ac.uk/handle/2086/19976
dc.language.isoenen
dc.researchinstituteInstitute of Creative Technologies (IOCT)en
dc.subjectneural networksen
dc.subjectcreative aien
dc.titleSeven Pleasures of Pris (2019) Improvising Ai robot duo with Multi-Layered Perceptron Neural Netsen
dc.typeWorking Paperen

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