Coloured noise time series as appropriate models for environmental variation in artificial evolutionary systems
- Submitting institution
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University of Keele
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 344
- Type
- E - Conference contribution
- DOI
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10.1162/isal_a_00284
- Title of conference / published proceedings
- The 2020 Conference on Artificial Life
- First page
- 292
- Volume
- -
- Issue
- 32
- ISSN
- -
- Open access status
- -
- Month of publication
- July
- Year of publication
- 2020
- URL
-
https://www.mitpressjournals.org/doi/abs/10.1162/isal_a_00284
- Supplementary information
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- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
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-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Winner of Best Paper award at the 2020 Artificial Life conference, the paper challenges conventional wisdom on the role of noise in evolution in both ALife (where Borg and Keele are recognised for their social evolution leadership, e.g. https://doi.org/10.1162/ARTL_a_00250), and anthropology (building on novel research by Liverpool archaeology's Matt Grove, e.g. https://doi.org/10.1016/j.cogsys.2018.10.012) . The paper has potential impact as a systematic and rigorous investigation evidencing the importance of the form of noise in any computational evolution, and in the understanding of how tolerance and specialisation evolve in reality.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -