Dale, Matthew, Stepney, Susan orcid.org/0000-0003-3146-5401 and Trefzer, Martin Albrecht orcid.org/0000-0002-6196-6832 (2020) Designing Computational Substrates using Open-Ended Evolution. In: Artificial Life Conference Proceedings. MIT Press, pp. 665-667.
Abstract
Evolutionary algorithms are powerful tools to discover novel and diverse solutions to complex problems. Here, we discuss how open-ended algorithms, such as novelty search, can be used to design and evaluate new unconventional computing systems, from the design of materials to the creation of new computational models.
Metadata
| Item Type: | Proceedings Paper |
|---|---|
| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2020 Massachusetts Institute of Technology |
| 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: | 11 Aug 2021 08:10 |
| Last Modified: | 20 Sep 2025 02:42 |
| Published Version: | https://doi.org/10.1162/isal_a_00294 |
| Status: | Published |
| Publisher: | MIT Press |
| Identification Number: | 10.1162/isal_a_00294 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:176998 |
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Description: Designing Computational Substrates using Open-Ended Evolution
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