Computational creativity composes a collection of activities that are capable of achieving or
simulating behaviors, which can be deemed creative. A frequently articulated criticism for …

ThisstudyinvestigatesthepossibilityofusingG…-3 modelstogeneratehigh-
qualitypoemsinaspecificauthor'sstyle, throughfine-tuningondatasetsofpoems accompaniedbytheirmetadataandautomatic …

Can we attribute creativity to an artifact by examining its computational history? What can be
said about its value and novelty if the artifact is computationally laborious and interesting …

This article describes and analyses the Ai Music Generation Challenge 2020, where seven
participants competed to build artificial systems that generate the most plausible double jigs …

Modelling human perception of musical similarity is critical for the evaluation of generative
music systems, musicological research, and many Music Information Retrieval tasks …

Poetry generation within style constraints has many creative challenges, despite the recent
advances in Transformer models for text generation. We study 1) how overfitting of various …

We build an analysis based on the Algorithmic Information Theory of computational creativity
and extend it to revisit computational aesthetics, thereby, improving on the existing efforts of …

Is style reproduction a valid computational creativity task? Does producing output'in the style
of'an existing creator contribute to computational creativity research? Where is the creativity …

We apply Context-free Grammars (CFG) to measure the structural information content of a
symbolic music string. CFGs are appropriate to this domain because they highlight …

We explore how the aesthetic lens of computational creativity can be used to aid in the
development of ethical principles for artificial intelligence systems, and their application to …