Waldegrave, Riversdale, Stepney, Susan orcid.org/0000-0003-3146-5401 and Trefzer, Martin Albrecht orcid.org/0000-0002-6196-6832 (2022) A System for Growing Graphs with Applications to Reservoir Computing. In: UNCONVENTIONAL COMPUTING: MATERIALS, SCIENCE, INFORMATICS, HARDWARE, SOFTWARE, 20-26 Oct 2022.
Abstract
A system to grow directed graphs, which combines elements of RBNs, Cellular Automata and L-Systems with graph transformation techniques. Salient features are: variable degree nodes with fixed arity functions; real-valued matrix-based encoding of state transition rules; potential for natural halting of growth. It is hoped that this can be used in an evo-devo system to create effective networks for use in reservoir computing.
Metadata
Item Type: | Conference or Workshop Item |
---|---|
Authors/Creators: |
|
Dates: |
|
Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) The University of York > Faculty of Sciences (York) > Electronic Engineering (York) |
Depositing User: | Pure (York) |
Date Deposited: | 02 Nov 2022 09:00 |
Last Modified: | 24 Mar 2025 00:13 |
Status: | Published |
Refereed: | Yes |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:192747 |
Download
Filename: 2022_10_EricePoster_v1.pdf
Description: 2022-10 - EricePoster_v1