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dc.contributor.authorVaughan, N
dc.date.accessioned2024-05-15T15:05:41Z
dc.date.issued2024-05-09
dc.date.updated2024-05-15T10:47:15Z
dc.description.abstractWorms create complex paths when moving through sediment to feed. This research applies computer simulation models to provide a unique approach to visualise and quantify the process by which complex worm paths can emerge from simple local movement decisions. A grid environment is proposed in which worms can move with choice of up to 8 directions at each step. This uses a square grid with diagonal paths which has not been investigated before and the resulting number of complex paths is increased compared to triangular grids. Results identify many novel worm paths. Some of the resulting paths are symmetrical, others produce repetitive looping paths, others return to the origin. Interesting worm paths are identified with chaotic movement. Some include oscillating between chaotic and ordered movement for which the outcome is still unknown after millions of steps. A conclusion that may be extrapolated to other creatures is that local movement decisions of a species substantially determine the overall global search strategy that emerges.en_GB
dc.description.sponsorshipRoyal Academy of Engineering (RAEng)en_GB
dc.identifier.citationVol. 14, No. 1, article 10655en_GB
dc.identifier.doihttps://doi.org/10.1038/s41598-024-61165-5
dc.identifier.urihttp://hdl.handle.net/10871/135952
dc.identifierORCID: 0000-0001-5038-6560 (Vaughan, Neil)
dc.language.isoenen_GB
dc.publisherNature Researchen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/38724688en_GB
dc.rights© The Author(s) 2024. Open Access Tis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en_GB
dc.titleSimulating worm feeding patterns with computational modelsen_GB
dc.typeArticleen_GB
dc.date.available2024-05-15T15:05:41Z
dc.identifier.issn2045-2322
exeter.article-number10655
exeter.place-of-publicationEngland
dc.descriptionThis is the final version. Available on open access from Nature Research via the DOI in this record. en_GB
dc.descriptionData availability: All of the worm codes for the worms shown in the figures of this paper are included within this paper. A collection of worm images and log files has been exported and is available from the author. This includes a set of worm path images for all worms up to a code length of 11. Log files from the random and recursive runs are available, enabling analysis of the categories of worm in both scenarios.en_GB
dc.descriptionCode availability: Source code in JavaScript for simulating worms is available and has been stored in an online source code repository14 with unique DOI under CC-BY licence. Readers can see this code running on the author’s website13 by using any compatible web browser on Windows, Apple or Unix, including Internet Explorer, Edge, Safari, Firefox, Google Chrome, including web browsers on Android or iOS smartphones.en_GB
dc.identifier.journalScientific Reportsen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2024-05-02
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2024-05-09
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2024-05-15T15:01:23Z
refterms.versionFCDVoR
refterms.dateFOA2024-05-15T15:06:37Z
refterms.panelAen_GB
refterms.dateFirstOnline2024-05-09


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© The Author(s) 2024. Open Access Tis article is licensed under a Creative Commons Attribution 4.0 International
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Except where otherwise noted, this item's licence is described as © The Author(s) 2024. Open Access Tis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.