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 |
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| Authors/Creators: |
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| Dates: |
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| 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: | 19 Sep 2025 23:12 |
| Status: | Published |
| Refereed: | Yes |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:192747 |
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Filename: 2022_10_EricePoster_v1.pdf
Description: 2022-10 - EricePoster_v1

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