Delivery: Can be download immediately after purchasing. For new customer, we need process for verification from 30 mins to 12 hours.
Version: PDF/EPUB. If you need EPUB and MOBI Version, please send contact us.
Compatible Devices: Can be read on any devices.
This volume explores the intersection of robust intelligence (RI) and trust in autonomous systems 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 book explores the underlying theory, mathematics, computational models, and field applications. It uniquely unifies the fields of RI and trust and frames it in a broader context, namely the effective integration of human-autonomous systems. A description of the current state of the art in RI and trust introduces the research work in this area. With this foundation, the chapters further elaborate on key research areas and gaps that are at the heart of effective human-systems integration, including workload management, human computer interfaces, team integration and performance, advanced analytics, behavior modeling, training, and, lastly, test and evaluation. Written by international leading researchers from across the field of autonomous systems research, Robust Intelligence and Trust in Autonomous Systems dedicates itself to thoroughly examining the challenges and trends of systems that exhibit RI, the fundamental implications of RI in developing trusted relationships with present and future autonomous systems, and the effective human systems integration that must result for trust to be sustained. Contributing authors: David W. Aha, Jenny Burke, Joseph Coyne, M.L. Cummings, Munjal Desai, Michael Drinkwater, Jill L. Drury, Michael W. Floyd, Fei Gao, Vladimir Gontar, Ayanna M. Howard, Mo Jamshidi, W.F. Lawless, Kapil Madathil, Ranjeev Mittu, Arezou Moussavi, Gari Palmer, Paul Robinette, Behzad Sadrfaridpour, Hamed Saeidi, Kristin E. Schaefer, Anne Selwyn, Ciara Sibley, Donald A. Sofge, Erin Solovey, Aaron Steinfeld, Barney Tannahill, Gavin Taylor, Alan R. Wagner, Yue Wang, Holly A. Yanco, Dan Zwillinger.
This is a digital product.
Robust Intelligence and Trust in Autonomous Systems is written by Ranjeev Mittu and published by Springer. The Digital and eTextbook ISBNs for Robust Intelligence and Trust in Autonomous Systems are 9781489976680, 148997668X and the print ISBNs are 9781489976666, 1489976663.

Measurement Theory in Action eBook
Editing Historical Documents eBook
Dynamics 365 for Finance and Operations Development Cookbook - Fourth Edition eBook
Phlebotomy Handbook eBook
Access 2007 eBook
WebAssign for Johnson/Mowry's Mathematics: A Practical Odyssey, 8th Edition [Instant Access], Single-Term eBook
Microsoft Office Publisher 2007 Step by Step eBook
Codependent No More Workbook eBook
The Good Gut eBook
Microsoft Office Excel 2007 Step by Step eBook
Internet Marketing eBook
Invitation to Public Speaking Handbook eBook
Human–Computer Interaction eBook
The Unwinding of the Miracle eBook
The Young Entrepreneur's Guide to Starting and Running a Business eBook
Finite Mathematics eBook
Microsoft Office - Integration eBook
Understanding ICD-10-CM and ICD-10-PCS Update: A Worktext eBook
The User's Manual For The Brain Volume I eBook
Wild Fermentation The Flavor, Nutrition, and Craft of Live-Culture Foods, 2nd Edition eBook
Powerpoint 2007 eBook
Cengage Advantage Books: The American Pageant, Volume 2: Since 1865 eBook
Principles of Engineering Thermodynamics, SI 2nd Edition eBook
Teaching Reading to English Language Learners eBook
Human Learning eBook
The Complete Project Management Office Handbook eBook
Microsoft Office Word 2007 Step by Step eBook 


Reviews
There are no reviews yet.