The third workshop on Developmental Neural Networks will be held as a part of the 2020 Conference on Artificial Life (ALIFE 2020). Like ALIFE2020, the workshop will be online only but we still plan on having an exciting, interactive event. There will be short online videos for keynotes and paper presentations which will be available before the workshop. During the workshop, we will have a live Q&A session for the keynote and submitted works followed by a 30-minutes round table discussion with authors.
In nature, brains are built through a process of biological development in which many aspects of the network of neurons and connections change, shaped by external information received through sensory organs. However, many modern artificial neural network (ANN) models do not include developmental mechanisms and regard learning as the adjustment of connection weights, while some that do use development restrain it to a period before the ANN is used.
It is therefore worthwhile to understand the cognitive functions offered by development and to investigate the fundamental questions raised by artificial neural development. In this workshop, we will explore existing and future approaches that aim to incorporate development into ANNs.
We welcome anyone to participate and encourage the submission of extended abstracts of 2-4 pages (MIT Press format used by ALIFE). We are open to submissions concerning a variety of neural development topics, from hand-written rules to evolved systems, and from conceptual work to experimental results. Accepted submissions will be distributed online and presented during the workshop. Abstracts must be submitted via email to the organizers by June 15, 2020.
For news and information, see https://www.irit.fr/devonn/ and follow us at https://twitter.com/DevonnWorkshop. To contact the organizers, please email [log in to unmask]
########################################################################
To unsubscribe from the EVOLUTIONARY-COMPUTING list, click the following link:
https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=EVOLUTIONARY-COMPUTING&A=1
|