1st Edition
Integrating Artificial and Human Intelligence through Agent Oriented Systems Design
This book departs from the assumption that AI systems will provide a maximum advantage by replacing human cognitive processing. Instead, this book subscribes to the assumption that AI systems will provide a maximal advantage when they are designed to augment human intelligence. This book provides methods for designing effective systems that include one or more humans and one or more AI entities, providing an approach that assumes automation does not replace human activity but fundamentally changes the structure of human work. Further, this approach assumes that proper design of systems incorporating humans and AI can dramatically enhance system effectiveness.
Integrating Artificial and Human Intelligence through Agent-Oriented Systems Design discusses the potential impact of AI on human work and life and explores why teamwork is necessary today for complex work environments. The book explains the processes and methods humans employ to effectively team with one another and presents the elements of artificial agents that permit them to function as team members in joint human and artificial agent teams. The book discusses design goals for systems including humans and AI, and illustrates methods that have been used to model the complex interactions among human and artificial agents to design the interaction between human and artificial agents to achieve shared goals. The design process includes Model-Based Systems Engineering (MBSE) tools that provide logical designs of human-agent teams, the AI within these teams, training to be deployed for human and artificial agent team members, and the interfaces between human and artificial agent team members. MBSE files containing profiles and examples for building MBSE models used in the design approach are featured on the author’s website, https://lodesterresci.com/hat.
This book is an ideal read for students, professors, engineers, and project managers associated with designing and developing AI systems or systems that seek to incorporate AI.
1. Introducing Human-AI Teaming. 2. Defining Your System. 3. Goals and Responsibilities. 4. What is Teaming?. 5. Automation and System Redesign. 6. AI Methods and Agent Architectures. 7. Allocation. 8. Human-AI Agent Team Architectural Patterns. 9. Decision Making and Decision Support Systems. 10. Designing for Exceptions. 11. System Verification through Coactive Design. 12. Human Capabilities and Capacity. 13. Completing System Specifications in the AOSM. 14. Future of Agent-Oriented Systems Modeling.
Biography
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.
