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Artificial Creative Societies: Adaption, Intention, and Evaluation

Peeperkorn, Max (2022) Artificial Creative Societies: Adaption, Intention, and Evaluation. In: C&C '22: Creativity and Cognition. Proceedings of C&C '22. . pp. 704-707. Association for Computing Machinery, New York, NY, United States ISBN 978-1-4503-9327-0. (KAR id:95666)

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Official URL:
https://dl.acm.org/doi/10.1145/3527927.3533728

Abstract

The thesis project presented aims to use social information in conjunction with modern AI/ML techniques to develop artificial creative societies. The main objective is to explore social creativity as it could be. The scope consists of three core aspects: adaption, intention, and evaluation. Current work exploring mechanising conceptual spaces is discussed, and future work directions are provided. The research trajectory consists of three phases. Each phase explores the core aspect concerning the individual, the field, and the domain. This work contributes new approaches toward adaptive CC systems, evaluation methods, and subsequently, the potential to inform other disciplines, such as art & design.

Item Type: Conference or workshop item (Other)
Uncontrolled keywords: computational creativity, artificial intelligence, machine learning, social creativity, adaptive creativity, conceptual spaces, agent-based simulation
Subjects: Q Science > Q Science (General) > Q335 Artificial intelligence
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Max Peeperkorn
Date Deposited: 04 Jul 2022 14:00 UTC
Last Modified: 04 Jul 2022 14:00 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/95666 (The current URI for this page, for reference purposes)
Peeperkorn, Max: https://orcid.org/0000-0001-9058-0886
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