Giovanni LION

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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 and formalize efficient guidelines that facilitate adoption and operation of such technologies. Its main objective is to uncover the hidden assumptions embedded in these tools and formalize a theoretical framework able to describe the different concept ontologies employed during human-machine collaboration and their inter-operability. Three studies will be conducted to validate the framework, each addressing a specific domain (music, language, visual).

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

Date of Completion
Summer 2022

Miscellaneous