Abstract
The Intersection of Robust Intelligence (RI) and Trust in Autonomous Systems addresses the current state-of-the-art in autonomy at the intersection of Robust Intelligence (RI) and trust, and the research gaps that must be overcome to enable the effective integration of autonomous and human systems. This is particularly true for the next generation of systems, which must scale to teams of autonomous platforms to better support their human operators and decision makers. This edited volume explores the intersection of RI and trust across multiple contexts among autonomous hybrid systems (where hybrids are arbitrary combinations of humans, machines and robots). To better understand the relationships between Artificial Intelligence (AI) and RI in a way that promotes trust between autonomous systems and human users, this edited volume explores the underlying theory, mathematics, computational models, and field applications.
Original language | English (US) |
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Title of host publication | Robust Intelligence and Trust in Autonomous Systems |
Publisher | Springer US |
Pages | 1-10 |
Number of pages | 10 |
ISBN (Electronic) | 9781489976680 |
ISBN (Print) | 9781489976666 |
DOIs | |
State | Published - Jan 1 2016 |
All Science Journal Classification (ASJC) codes
- General Computer Science
- General Engineering