
Integrating Artificial and Human Intelligence through Agent Oriented Systems Design
$216.80
- Hardcover
302 pages
- Release Date
28 August 2024
Summary
Augmenting Human Intelligence: Designing AI for Collaborative Systems
This book challenges the notion that Artificial Intelligence (AI) systems should primarily replace human cognitive processing. Instead, it champions the idea that AI’s greatest potential lies in augmenting human intelligence through carefully designed collaborative systems. It presents methodologies for creating effective systems that seamlessly integrate humans and AI entities, recognizing that automation fundame…
Book Details
ISBN-13: | 9781032546575 |
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ISBN-10: | 1032546573 |
Series: | Systems Innovation Book Series |
Author: | Michael E. Miller, Christina F. Rusnock |
Publisher: | Taylor & Francis Ltd |
Imprint: | CRC Press |
Format: | Hardcover |
Number of Pages: | 302 |
Release Date: | 28 August 2024 |
Weight: | 603g |
Dimensions: | 234mm x 156mm |
About The Author
Michael E. Miller
Michael E. Miller is a Professor of Systems Engineering at the Air Force Institute of Technology where he teaches courses in human factors, human performance modeling, and human systems integration, including a course in Human-Agent Teaming. Mike’s recent research has focused on human representations in systems engineering models, including a SysML extension for developing descriptive models of systems which include small teams of humans and agents working to seek common goals. Mike has contributed to more than 100 issued U.S. patents on digital imaging and display systems, 50 peer‐reviewed journal articles, and numerous conference proceedings.
Lt Col Christina F. Rusnock is an Adjunct Associate Professor of the Department of Systems Engineering and Management at the Air Force Institute of Technology, Wright Patterson AFB, OH. Dr. Rusnock earned her Ph.D. in Industrial Engineering, Human Factors/Ergonomics Specialization, from the University of Central Florida, and an MS in Research and Development Management from the Air Force Institute of Technology. Her research interests include human performance modeling, mental workload, trust in automation, and situation awareness, with a focus on applications in human-machine teaming for autonomous systems. She has contributed to over 50 books, journal articles, and conference proceedings.
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