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Content Provider | IEEE Xplore Digital Library |
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Author | Vassev, E. Hinchey, M. |
Copyright Year | 2013 |
Description | Author affiliation: Lero - the Irish Software Eng. Res. Centre, Univ. of Limerick, Limerick, Ireland (Vassev, E.; Hinchey, M.) |
Abstract | To become interaction-aware, an autonomic cyber-physical system needs to be aware of its physical environment and whereabouts and its current internal status. This ability is defined as artificial awareness and it helps intelligent software-intensive systems perceive changes, draw inferences for their own behavior and react. Originally, artificial awareness depends on the knowledge we transfer to a system and how we make the system use that knowledge, so it can exhibit intelligence. Artificial awareness requires a means of sensing changes, so the external and internal worlds can be perceived through their raw events and data. To build an efficient awareness mechanism, we need to provide a means of monitoring and knowledge representation along with a proper reasoner deriving awareness conclusions. In this paper, we present an approach to implementing artificial awareness with KnowLang, a special framework for knowledge representation and reasoning. KnowLang provides for a special knowledge context and a special reasoner operating in that context. The reasoner communicates with the host system via special ASK and TELL operators allowing for awareness conclusions and updates. |
Sponsorship | IEEE Syst. Council |
Starting Page | 580 |
Ending Page | 586 |
File Size | 1312684 |
Page Count | 7 |
File Format | |
ISBN | 9781467331074 |
e-ISBN | 9781467331081 |
DOI | 10.1109/SysCon.2013.6549940 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-04-15 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Context awareness Amplitude shift keying knowledge representation Knowledge representation reasoning KnowLang Cognition Probability distribution Sensors Robots |
Content Type | Text |
Resource Type | Article |
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