NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
The Challenges of Human-Autonomy TeamingMachine intelligence is improving rapidly based on advances in big data analytics, deep learning algorithms, networked operations, and continuing exponential growth in computing power (Moores Law). This growth in the power and applicability of increasingly intelligent systems will change the roles humans, shifting them to tasks where adaptive problem solving, reasoning and decision-making is required. This talk will address the challenges involved in engineering autonomous systems that function effectively with humans in aeronautics domains.
Document ID
20170010204
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Vera, Alonso
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
October 19, 2017
Publication Date
April 18, 2017
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Report/Patent Number
ARC-E-DAA-TN42122
Report Number: ARC-E-DAA-TN42122
Meeting Information
Meeting: SAE/NASA Autonomy and Next Generation Flight Deck Symposium
Location: Moffett Field, CA
Country: United States
Start Date: April 18, 2017
End Date: April 19, 2017
Sponsors: Society of Automotive Engineers, Inc.
Funding Number(s)
WBS: WBS 43298.11.01.01.16
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Keywords
artificial intelligence
machine intelligence
Human Autonomy Teaming
No Preview Available