Highlights•Computational accounts of creativity are necessary for mechanistic insights.•
Neurocomputational models can quantify degrees of creativity.•Convergent and divergent …

The common view that our creativity is what makes us uniquely human suggests that
incorporating research on human creativity into generative deep learning techniques might …

The paper describes a novel approach to allow a robot to dance following musical rhythm.
The proposed system generates a dance for a humanoid robot through the combination of …

Explainable AI (XAI) is gaining the momentum, at now. While the idea is to apply it in
different scenarios, including medicine, business analytics, genomics computing and so …

The paper proposes a novel cognitive architecture (CA) for computational creativity based
on the Psi model and on the mechanisms inspired by dual process theories of reasoning …

In robotics, perception is usually oriented at understanding what is happening in the external
world, while few works pay attention to what is occurring in the robot's body. In this work, we …

Computational creativity in dancing is a recent and challenging research field in Artificial
Intelligence and Robotics. We present a cognitive architecture embodied in a humanoid …

We examine two recent artificial intelligence (AI) based deep learning algorithms for visual
blending in convolutional neural networks (Mordvintsev et al. 2015, Gatys et al. 2015). To …

Abstract Evaluation is a key factor of creativity: for this reason it should be integrated into a
cognitive architecture of a creative artificial agent. The approach illustrated in this paper …

The paper discusses an approach aimed at endowing a cognitive architecture with artificial
creativity capabilities in order to make a humanoid able to dance in a pleasant manner. The …