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

 

Study: Ph.D

Study mode: Part Time

Hometown: Padova