Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/61725
Title: | Experience-based Intelligence Augmentation with Decisional DNA: Upcoming Direction |
Contributor(s): | Szczerbicki, Edward (author); Sanin, Cesar (author) |
Publication Date: | 2022 |
Open Access: | Yes |
DOI: | 10.1016/j.procs.2022.09.107 |
Handle Link: | https://hdl.handle.net/1959.11/61725 |
Abstract: | | 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.
Publication Type: | Conference Publication |
Source of Publication: | Procedia Computer Science, v.207, p. 522-531 |
Publisher: | Elsevier BV |
Place of Publication: | The Netherlands |
ISSN: | 1877-0509 |
Fields of Research (FoR) 2020: | 4602 Artificial intelligence |
Peer Reviewed: | Yes |
HERDC Category Description: | E1 Refereed Scholarly Conference Publication |
Appears in Collections: | Journal Article School of Science and Technology
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