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Bridging the Sense-Reasoning Gap : DyKnow - A Middleware Component for Knowledge Processing
2008 (English)In: IROS Workshop on Current Software Frameworks in Cognitive Robotics Integrating Different Computational Paradigms / [ed] Martin Hulse and Manfred Hild, 2008Conference paper (Refereed)
Abstract [en]

  Developing autonomous agents displaying rational and goal-directed behavior in a dynamic physical environment requires the integration of both sensing and reasoning components.  Due to the different characteristics of these components there is a gap between sensing and reasoning. We believe that this gap can not be bridged in a single step with a single technique. Instead, it requires a more general approach to integrating components on many different levels of abstraction and organizing them in a structured and principled manner.  In this paper we propose knowledge processing middleware as a systematic approach for organizing such processing.  Desirable properties of such middleware are presented and motivated. We then go on to argue that a declarative streambased system is appropriate to provide the desired functionality.  Finally, DyKnow, a concrete example of stream-based knowledge processing middleware that can be used to bridge the sense-reasoning gap, is presented. Different types of knowledge processes and components of the middleware are described and motivated in the context of a UAV traffic monitoring application.

National Category
Computer Science
URN: urn:nbn:se:liu:diva-44566Local ID: 77106OAI: diva2:265428
Swedish Foundation for Strategic Research

No proceedings, but CD

Available from2009-10-10 Created:2009-10-10 Last updated:2013-08-29

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Heintz, FredrikKvarnström, JonasDoherty, Patrick
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The Institute of TechnologyKPLAB - Knowledge Processing Lab
Computer Science

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