Files:DescriptionFile size FormatBrowse
Fulltext0.05 MBPDF (requires Acrobat Reader)Previous | Next
  
Authors:Fredrik Heintz: Dept. Of Computer and Information Science, Linköping University, Sweden
Jonas Kvarnström: Dept. of Computer and Information Science, Linköping University, Sweden
Patrick Doherty: Dept. of Computer and Information Science, Linköping University, Sweden
Publication title:Stream-Based Reasoning Support for Autonomous Systems
Conference:The Swedish AI Society Workshop May 20-21, 2010, Uppsala University
Publication type: Abstract and Fulltext
Issue:048
Article No.:006
Abstract:For autonomous systems such as unmanned aerial vehicles to successfully perform complex missions, a great deal of embedded reasoning is required at varying levels of abstraction. To support the integration and use of diverse reasoning modules we have developed DyKnow, a stream-based knowledge processing middleware framework. By using streams, DyKnow captures the incremental nature of sensor data and supports the continuous reasoning necessary to react to rapid changes in the environment.

DyKnow has a formal basis and pragmatically deals with many of the architectural issues which arise in autonomous systems. This includes a systematic stream-based method for handling the sense-reasoning gap, caused by the wide difference in abstraction levels between the noisy data generally available from sensors and the symbolic, semantically meaningful information required by many high-level reasoning modules. As concrete examples, stream-based support for anchoring and planning are presented.

Language:English
Year:2010
No. of pages:1
Pages:25-25
Series:Linköping Electronic Conference Proceedings
ISSN (print):1650-3686
ISSN (online):1650-3740
File:http://www.ep.liu.se/ecp/048/006/ecp1048006.pdf
Available:2010-05-19
Publisher:Linköping University Electronic Press, Linköpings universitet

REFERENCE TO THIS PAGE
Fredrik Heintz, Jonas Kvarnström, Patrick Doherty (2010). Stream-Based Reasoning Support for Autonomous Systems, The Swedish AI Society Workshop May 20-21, 2010, Uppsala University http://www.ep.liu.se/ecp_article/index.en.aspx?issue=048;article=006 (accessed 4/18/2014)