A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Informing Artificial Intelligence Generative Techniques using Cognitive Theories of Human Creativity
[article]
2018
arXiv
pre-print
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 be a fruitful avenue for making their outputs more compelling and human-like. Using an original synthesis of Deep Dream-based convolutional neural networks and cognitive based computational art rendering systems, we show how honing theory, intrinsic motivation, and the notion of a 'seed incident' can be implemented
arXiv:1812.05556v1
fatcat:avsbibrhvnggzbfw5eonbpgec4