Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/61725
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Szczerbicki, Edward | en |
dc.contributor.author | Sanin, Cesar | en |
dc.date.accessioned | 2024-07-19T09:44:08Z | - |
dc.date.available | 2024-07-19T09:44:08Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Procedia Computer Science, v.207, p. 522-531 | en |
dc.identifier.issn | 1877-0509 | en |
dc.identifier.uri | https://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.language | en | en |
dc.publisher | Elsevier BV | en |
dc.relation.ispartof | Procedia Computer Science | en |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Experience-based Intelligence Augmentation with Decisional DNA: Upcoming Direction | en |
dc.type | Conference Publication | en |
dc.identifier.doi | 10.1016/j.procs.2022.09.107 | en |
dcterms.accessRights | UNE Green | en |
local.contributor.firstname | Edward | en |
local.contributor.firstname | Cesar | en |
local.profile.school | School of Science and Technology | en |
local.profile.email | cmaldon3@une.edu.au | en |
local.output.category | E1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.date.conference | 7th to 9th of September, 2022 | en |
local.conference.place | Italy | en |
local.publisher.place | The Netherlands | en |
local.format.startpage | 522 | en |
local.format.endpage | 531 | en |
local.peerreviewed | Yes | en |
local.identifier.volume | 207 | en |
local.title.subtitle | Upcoming Direction | en |
local.access.fulltext | Yes | en |
local.contributor.lastname | Szczerbicki | en |
local.contributor.lastname | Sanin | en |
dc.identifier.staff | une-id:cmaldon3 | en |
local.profile.orcid | 0000-0001-8515-417X | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:1959.11/61725 | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Experience-based Intelligence Augmentation with Decisional DNA | en |
local.output.categorydescription | E1 Refereed Scholarly Conference Publication | en |
local.conference.details | Italy, 7th to 9th of September, 2022 | en |
local.search.author | Szczerbicki, Edward | en |
local.search.author | Sanin, Cesar | en |
local.open.fileurl | https://rune.une.edu.au/web/retrieve/f97098f0-c658-4f0e-a1e9-4b046d7aad77 | en |
local.uneassociation | No | en |
local.atsiresearch | No | en |
local.conference.venue | 207 | en |
local.sensitive.cultural | No | en |
local.year.published | 2022 | en |
local.fileurl.open | https://rune.une.edu.au/web/retrieve/f97098f0-c658-4f0e-a1e9-4b046d7aad77 | en |
local.fileurl.openpublished | https://rune.une.edu.au/web/retrieve/f97098f0-c658-4f0e-a1e9-4b046d7aad77 | en |
local.subject.for2020 | 4602 Artificial intelligence | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.date.moved | 2024-08-02 | en |
Appears in Collections: | Journal Article School of Science and Technology |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
openpublished/ExperienceSzczerbicki2022ConferencePublication.pdf | Published Version | 1.31 MB | Adobe PDF Download Adobe | View/Open |
This item is licensed under a Creative Commons License