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 |
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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: | 26 Mar 2025 00:17 |
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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