Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/37715
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBacardit, Jaumeen_UK
dc.contributor.authorBrownlee, Alexanderen_UK
dc.contributor.authorCagnoni, Stefanoen_UK
dc.contributor.authorIacca, Giovannien_UK
dc.contributor.authorMcCall, Johnen_UK
dc.contributor.authorWalker, Daviden_UK
dc.date.accessioned2025-12-14T01:04:45Z-
dc.date.available2025-12-14T01:04:45Z-
dc.date.issued2024-03en_UK
dc.identifier.urihttp://hdl.handle.net/1893/37715-
dc.description.abstractFirst paragraph: Explainable Artificial Intelligence (XAI) has recently emerged as one of the most active areas of research in AI. While Evolutionary Computation (EC) is also a very active research area, the intersection between XAI and EC is still rather unexplored. This topic was the subject of our Workshops on EvolutionaryComputingandExplainableArtificialIntelligence(ECXAI) organized at GECCO 2022 and GECCO 2023. This special issue collects four articles further exploring the intersection between XAI and EC, including both, the use of EC for XAI as well as the use of explainability techniques to better understand EC methods.en_UK
dc.language.isoenen_UK
dc.publisherAssociation for Computing Machinery (ACM)en_UK
dc.relationBacardit J, Brownlee A, Cagnoni S, Iacca G, McCall J & Walker D (2024) Introduction to the Special Issue on Explainable AI in Evolutionary Computation. <i>ACM Transactions on Evolutionary Learning and Optimization</i>, 4 (1), pp. 1-2. https://doi.org/10.1145/3649144en_UK
dc.rights© ACM, 2024. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Evolutionary Learning and Optimization, 4(1), 1-2. https://doi.org/10.1145/3649144.en_UK
dc.titleIntroduction to the Special Issue on Explainable AI in Evolutionary Computationen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1145/3649144en_UK
dc.citation.jtitleACM Transactions on Evolutionary Learning and Optimizationen_UK
dc.citation.issn2688-3007en_UK
dc.citation.issn2688-299Xen_UK
dc.citation.volume4en_UK
dc.citation.issue1en_UK
dc.citation.spage1en_UK
dc.citation.epage2en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedUnrefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.author.emailalexander.brownlee@stir.ac.uken_UK
dc.citation.date13/03/2024en_UK
dc.contributor.affiliationNewcastle Universityen_UK
dc.contributor.affiliationComputing Science and Mathematics - Divisionen_UK
dc.contributor.affiliationUniversity of Parmaen_UK
dc.contributor.affiliationTrento Universityen_UK
dc.contributor.affiliationRobert Gordon Universityen_UK
dc.contributor.affiliationUniversity of Exeteren_UK
dc.identifier.scopusid2-s2.0-85187920673en_UK
dc.identifier.wtid2084982en_UK
dc.contributor.orcid0000-0002-2692-7205en_UK
dc.contributor.orcid0000-0003-2892-5059en_UK
dc.contributor.orcid0000-0003-4669-512Xen_UK
dc.contributor.orcid0000-0001-9723-1830en_UK
dc.contributor.orcid0000-0003-1738-7056en_UK
dc.contributor.orcid0000-0001-8686-4253en_UK
dc.date.accepted2024-02-16en_UK
dcterms.dateAccepted2024-02-16en_UK
dc.date.filedepositdate2024-12-20en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.versionAMen_UK
local.rioxx.authorBacardit, Jaume|0000-0002-2692-7205en_UK
local.rioxx.authorBrownlee, Alexander|0000-0003-2892-5059en_UK
local.rioxx.authorCagnoni, Stefano|0000-0003-4669-512Xen_UK
local.rioxx.authorIacca, Giovanni|0000-0001-9723-1830en_UK
local.rioxx.authorMcCall, John|0000-0003-1738-7056en_UK
local.rioxx.authorWalker, David|0000-0001-8686-4253en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2025-03-03en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/all-rights-reserved|2025-03-03|en_UK
local.rioxx.filenamesample-acmsmall.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2688-3007en_UK
Appears in Collections:Computing Science and Mathematics Journal Articles

Files in This Item:
File Description SizeFormat 
sample-acmsmall.pdfFulltext - Accepted Version373.56 kBAdobe PDFView/Open


This item is protected by original copyright



Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.