Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/1553
Full metadata record
DC FieldValueLanguage
dc.contributor.authorDavid M. Tate
dc.contributor.authorDavid A. Sparrow
dc.date.accessioned2020-03-16T17:59:26Z-
dc.date.available2020-03-16T17:59:26Z-
dc.date.issued2018-04-30
dc.identifier.citationPublished--Unlimited Distribution
dc.identifier.urihttps://dair.nps.edu/handle/123456789/1553-
dc.descriptionAcquisition Management / Defense Acquisition Community Contributor
dc.description.abstractThe Department of Defense has stated publicly that future defense capabilities will depend strongly on autonomous systems systems that make sophisticated judgments about the world and choose appropriate courses of action, and perhaps even adapt and learn over time. Developing and deploying such systems poses more than just a technical challenge in robotics and artificial intelligence it also poses many challenges to the acquisition process and workforce. From cost estimation to sustainment planning, every aspect of acquisition will be affected. Test and evaluation, in particular, may require not only novel methodologies and resources, but organizational and process changes as well.
dc.description.sponsorshipAcquisition Research Program
dc.languageEnglish (United States)
dc.publisherAcquisition Research Program
dc.relation.ispartofseriesTest and Evaluation
dc.relation.ispartofseriesSYM-AM-18-042
dc.subjectAutonomous Systems
dc.subjectTest and Evaluation
dc.subjectProcess
dc.subjectArtificial Intelligence
dc.titleAcquisition Challenges of Autonomous Systems
dc.typeArticle
Appears in Collections:Annual Acquisition Research Symposium Proceedings & Presentations

Files in This Item:
File SizeFormat 
SYM-AM-18-042.pdf794.19 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.