Generative comics: a character evolution approach for creating fictional comics

Malik Nairat*, Mats Nordahl, Palle Dahlstedt

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Original languageEnglish
JournalDigital Creativity
Issue number4
Pages (from-to)284-301
Publication statusPublished - 15 Sep 2020
Externally publishedYes

Bibliographical note

Funding Information:
Palle Dahlstedt (b.1971), artist, composer and researcher from Sweden. He has studied piano, composition and electronic music (MFA, MA), and has a PhD in evolutionary computation for artistic creativity. Dahlstedt studies the deep entanglement of art and advanced technology, particularly in relation to creative and aesthetic implications. He develops new technologies for improvization, composition and art, and is especially interested in technologies that allow for embodied performance on electronic sounds, and new kinds of interactions between musicians, based on a system view of emergence from human-technology interactions. He has contributed technologies and theories to the field of computational creativity, and has received extensive artistic research funding from the Swedish Research Council. Dahlstedt has collaborated with international universities such as University of California Berkeley (CNMAT), Stanford University (CCRMA), and Monash University, Melbourne. Currently, he is part a research project funded by Princeton University, about the electronic instrument design. Dahlstedt was 2015–2018 Obel Professor in Art & Technology at Aalborg University, Denmark, and is currently Associate Professor in Computer-Aided Creativity and head of the Interaction Design Division at the Department of Computer Science and Engineering, Chalmers, and also lecturer in electronic music composition at the Academy of Music and Drama, Gothenburg.

Publisher Copyright:
© 2020 Informa UK Limited, trading as Taylor & Francis Group.

Copyright 2020 Elsevier B.V., All rights reserved.


  • Comics
  • evolutionary algorithms
  • generative art
  • multi-agent systems
  • narrativity


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