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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 10/31/2014)