{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T14:46:00Z","timestamp":1764859560909,"version":"3.40.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"print","value":"9781643683942"},{"type":"electronic","value":"9781643683959"}],"license":[{"start":{"date-parts":[[2023,6,22]],"date-time":"2023-06-22T00:00:00Z","timestamp":1687392000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,22]]},"abstract":"<jats:p>Somax2 is a multi-agent interactive system, based on machine-listening, machine learning and generative units, performing live machine co-improvisation with musicians. The system is trained on any musical materials chosen by the user (Audio or MIDI), effectively constructing a generative model, a corpus, from which it draws its musical \u201cknowledge\u201d. Listening to and adapting to a musician, that activates dynamic profiles, Somax2 provides stylistically coherent improvisation in real-time. As part of the REACH project, defining co-creativity as distributed agency between human and machine, Somax2 is indeed a good example of a distributed co-creative system, where multimodal cross-feedback affects collective behavior and increases player\u2019s engagement through emotion and motivation.<\/jats:p>","DOI":"10.3233\/faia230106","type":"book-chapter","created":{"date-parts":[[2023,6,23]],"date-time":"2023-06-23T18:57:03Z","timestamp":1687546623000},"source":"Crossref","is-referenced-by-count":2,"title":["Somax2 \u2013 A Distributed Co-Creative System for Human-Machine Co-Improvisation"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-0523-2481","authenticated-orcid":false,"given":"Marco","family":"Fiorini","sequence":"first","affiliation":[{"name":"STMS Lab:IRCAM \u2013 CNRS \u2013 Sorbonne University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2859-3445","authenticated-orcid":false,"given":"Mikhail","family":"Malt","sequence":"additional","affiliation":[{"name":"STMS Lab:IRCAM \u2013 CNRS \u2013 Sorbonne University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","HHAI 2023: Augmenting Human Intellect"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA230106","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,24]],"date-time":"2023-06-24T03:13:08Z","timestamp":1687576388000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA230106"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,22]]},"ISBN":["9781643683942","9781643683959"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia230106","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"type":"print","value":"0922-6389"},{"type":"electronic","value":"1879-8314"}],"subject":[],"published":{"date-parts":[[2023,6,22]]}}}