Exploiting Augmented Intelligence in Systems Engineering and Engineered Systems. Issue 1 (15th April 2020)
- Record Type:
- Journal Article
- Title:
- Exploiting Augmented Intelligence in Systems Engineering and Engineered Systems. Issue 1 (15th April 2020)
- Main Title:
- Exploiting Augmented Intelligence in Systems Engineering and Engineered Systems
- Authors:
- Madni, Azad M.
- Abstract:
- ABSTRACT: With AI resurgence paced by recent machine learning advances, several engineering disciplines including systems engineering turn to AI to improve system model accuracy, process flexibility, content exploration and search, and team productivity. More recently, AI has become a means to augment rather than replace human capability. This perspective alters AI's role from autonomous intelligence to augmented intelligence (AugI). Inherent in this view, recognizing AI and human together can perform certain tasks better than either could alone. This paper presents a methodological framework for effectively exploiting AugI in systems engineering and in engineered intelligent human‐machine systems.
- Is Part Of:
- Insight. Volume 23:Issue 1(2020)
- Journal:
- Insight
- Issue:
- Volume 23:Issue 1(2020)
- Issue Display:
- Volume 23, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 23
- Issue:
- 1
- Issue Sort Value:
- 2020-0023-0001-0000
- Page Start:
- 31
- Page End:
- 36
- Publication Date:
- 2020-04-15
- Subjects:
- augmented intelligence -- artificial intelligence -- systems engineering -- human‐AI collaboration -- ontology engineering
Systems engineering -- Periodicals
Systems engineering
Periodicals
620.0011 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2156-4868 ↗
http://www.incose.org/ProductsPubs/periodicals/insight.aspx ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/inst.12282 ↗
- Languages:
- English
- ISSNs:
- 2156-485X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13154.xml