PhD Researcher
Mr Giovanni Lion
ORCID iD
https://orcid.org/0000-0003-4526-0642
PhD Title
Concept Formation in Computational Creativity: a Comparative Study of Algorithmic Approaches
Keywords
Concept formation, Computational Creativity, Artificial Intelligence
Research Abstract
This doctoral thesis addresses the latest advancements in machine learning architectures for creative artifact generation through the lenses of Design, Philosophy and Cognitive Science. The research adopts a trans-disciplinary approach, looking for opportunities to decompartmentalize knowledge. In a not-so-distant future, technology will allow us to generate large amounts of high-quality content with little effort. This will have a profound impact on the way we consume content, and it will also have a significant impact on the way we value creativity. The research addresses the implications of this technological shift by studying the effects these new tools have in the creative process.
Key Publications
Giovanni Lion. 2021. Concept Formation in Computational Creativity: a Comparative Study of Algorithmic Approaches. In Creativity and Cognition (C&C '21). Association for Computing Machinery, New York, NY, USA, Article 67, 1–5. DOI:https://doi.org/10.1145/3450741.3467466
Qualifications
BSc – Bocconi University
MSc – Bocconi University
MSc – The Hong Kong Polytechnic University
Supervisors
Prof. dr. dr. Johan Hoorn (Main)
Specialization / Interests
Algorithmic Composition, Generative Art, Co-creative Systems, Generative Deep Learning