Addresses the current state of the art in autonomy and artificial intelligence
Examines the gaps in the existing research that must be addressed to better integrate autonomous and human systems
Written by leading scientists across the field of autonomous systems research
Explores how artificial intelligence provides for an expanded, yet uncertain, impact on society by humans, machines, and robots
Table of Contents:
Preface.- Introduction.- Reexamining Computational Support for Intelligence Analysis: A Functional Design for a Future Capability.- Task Allocation Using Parallelized Clustering and Auctioning Algorithms for Heterogeneous Robotic Swarms Operating on a Cloud Network .- Human Information Interaction, Artificial Intelligence, and Errors.- Verification Challenges for Autonomous Systems.- Conceptualizing Over trust in Robots: Why Do People Trust a Robot That Previously Failed?.- Research Considerations and Tools for Evaluating Human-Automation Interaction with Future Unmanned Systems.- Robot autonomy: some technical issues.- How Children with Autism and Machines Learn to Interact.- Semantic Vector Spaces for Broadening Consideration of Consequences.- On the Road to Autonomy: Evaluating and Optimizing Hybrid Team Dynamics.- Cyber-security and Optimization in Smart “Autonomous” Buildings.- Evaluations: Autonomy and Artificial Intelligence: A threat or savior?
About the Author :
Contributing authors: Kevin Barry, Patrick Benavidez, Chris Berka, Joseph Coyne, Boris A. Galitsky, Peter Gerken, Sri Nikhil Gupta Gourisetti, Rachel Hingst, Ayanna Howard, Mo Jamshidi, W.F. Lawless, James Llinas, Jonathan Lwowski, Ranjeev Mittu, Ira S. Moskowitz, Michael Mylrea, Anna Parnis, John J. Prevost, Adrienne Raglin, Signe A. Redfield, Paul Robinette, Galina Rogova, Stephen Russell, Alicia Ruvinsky, Mae L. Seto, Sarah Sherwood, Ciara Sibley, Donald Sofge, Douglas Summers Stay, Maja Stikic, Catherine Tessier, Alan R. Wagner.
Review :
"The volume is interesting for a wide spectrum of researchers in AI, autonomous systems, information theory, and cognitive systems (info-communication, information systems). Several thought-provoking ideas provide opportunities for further analysis, brainstorming, and research." (Bálint Molnár, Computing Reviews, October, 2018)
