- author = "Julian Francis Miller",
- title = "Evolving developmental neural networks to solve multiple problems",
- booktitle = "2020 Conference on Artificial Life",
- year = "2020",
- editor = "Josh Bongard and Juniper Lovato and Laurent Hebert-Dufresne and Radhakrishna Dasari and Lisa Soros",
- pages = "473--482",
- address = "online",
- month = "13-18 " # jul,
- organisation = "ISAL",
- publisher = "Massachusetts Institute of Technology",
- note = "Contributed talk",
- keywords = "genetic algorithms, genetic programming, Cartesian genetic programming, ANN",
-
URL = "
https://direct.mit.edu/isal/proceedings/isal2020/473/98437",
-
DOI = "
doi:10.1162/isal_a_00252",
-
video_url = "https://www.youtube.com/watch?v=440BoGwtGWo",
- size = "10 pages",
- abstract = "We describe a neural model in which two evolved neural programs undergo development and form neural networks. The programs decide whether neurons and their dendrites move, change, die or replicate. We show that the programs can build a neural structure from which multiple conventional ANNs can be extracted each of which can solve a different computational",
-
notes = "Montreal, Canada. See also
\cite{Miller:2021:ALife}
isal_a_00252
https://direct.mit.edu/isal/proceedings/isal2020/32/1/98387",
