Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61725
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dc.contributor.authorSzczerbicki, Edwarden
dc.contributor.authorSanin, Cesaren
dc.date.accessioned2024-07-19T09:44:08Z-
dc.date.available2024-07-19T09:44:08Z-
dc.date.issued2022-
dc.identifier.citationProcedia Computer Science, v.207, p. 522-531en
dc.identifier.issn1877-0509en
dc.identifier.urihttps://hdl.handle.net/1959.11/61725-
dc.description.abstract<p>Intelligence amplification systems and technologies have gained significant interest from academia and industry during the past few decades. One of the main reasons behind this trend is the fact that most experts agree that truly intelligent artificial system is yet to be developed. The question increasing often asked is this: Is full replication of human intelligence desirable key aim in intelligence related technology and research? In this context, the concept of Augmented Intelligence, also known as Cognitive Augmentation or Intelligence Amplification (IA) comes into play. One of the main reasons behind this interest in this concept is the potential of such technologies to revolutionize human life as they intend to work under complex decision-making environments, adapting to a comprehensive range of unforeseen changes, and exhibiting prospective behavior. The combination of these properties aims to enhance human capabilities and create more intelligent and efficient human-centered environments. In this paper we discuss how Decisional DNA (DDNA), a multi-domain knowledge structure that has the Set of Experience Knowledge Structure (SOEKS) at its core can be utilized as an experience-based intelligence augmentation in a number of different domains.</p>en
dc.languageenen
dc.publisherElsevier BVen
dc.relation.ispartofProcedia Computer Scienceen
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleExperience-based Intelligence Augmentation with Decisional DNA: Upcoming Directionen
dc.typeConference Publicationen
dc.identifier.doi10.1016/j.procs.2022.09.107en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameEdwarden
local.contributor.firstnameCesaren
local.profile.schoolSchool of Science and Technologyen
local.profile.emailcmaldon3@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.conference.placeItalyen
local.publisher.placeThe Netherlandsen
local.format.startpage522en
local.format.endpage531en
local.peerreviewedYesen
local.identifier.volume207en
local.title.subtitleUpcoming Directionen
local.access.fulltextYesen
local.contributor.lastnameSzczerbickien
local.contributor.lastnameSaninen
dc.identifier.staffune-id:cmaldon3en
local.profile.orcid0000-0001-8515-417Xen
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/61725en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleExperience-based Intelligence Augmentation with Decisional DNAen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.conference.detailsItalyen
local.search.authorSzczerbicki, Edwarden
local.search.authorSanin, Cesaren
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/f97098f0-c658-4f0e-a1e9-4b046d7aad77en
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2022-
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/f97098f0-c658-4f0e-a1e9-4b046d7aad77en
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/f97098f0-c658-4f0e-a1e9-4b046d7aad77en
local.subject.for20204602 Artificial intelligenceen
local.subject.seo2020TBDen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
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