We are delighted to share that Colin Roitt, a RIED PhD Student at the University of York, recently presented a paper and poster at the 13th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART). This was part of “evostar”, the leading European event on Bio-Inspired Computation that took part in Aberystwyth, Wales, UK 3-5 April
Colin’s paper entitled “Enough is Enough: Learning to Stop in Generative Systems” proposed that while Gene regulatory networks (GRNs) have been used to drive artificial generative systems these systems must begin and then stop generation, or growth, akin to their biological counterpart. A Long Short-Term Memory style network was implemented as a GRN for an Evo-Devo generative system and was tested on one simple (single point target) and two more complex problems (structured and unstructured point clouds). The novel LSTMGRN performed well in simple tasks to optimise stopping conditions, but struggled to manage more complex environments. This early work in self-regulating growth will allow for further research in more complex systems to allow the removal of hyperparameters and allowing the evolutionary system to stop dynamically and prevent organisms overshooting the optimal.
Here are links to the paper
https://link.springer.com/chapter/10.1007/978-3-031-56992-0_22
https://doi.org/10.1007/978-3-031-56992-0_22
Well done Colin !
