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An Abductive Approach for Analysing Event-Based Requirements Specifications
ICLP '02 Proceedings of the 18th International Conference on Logic Programming
Some Alternative Formulations of the Event Calculus
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part II
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IEEE Intelligent Systems
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Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
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UIC '09 Proceedings of the 6th International Conference on Ubiquitous Intelligence and Computing
An Event-driven Context Model in Elderly Health Monitoring
UIC-ATC '09 Proceedings of the 2009 Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing
Reasoning with knowledge, action and time in dynamic and uncertain domains
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Rule-Based Event Processing and Reaction Rules
RuleML '09 Proceedings of the 2009 International Symposium on Rule Interchange and Applications
A survey of context modelling and reasoning techniques
Pervasive and Mobile Computing
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RuleML'10 Proceedings of the 2010 international conference on Semantic web rules
DC proposal: decision support methods in community-driven knowledge curation platforms
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part II
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HIKM '12 Proceedings of the Fifth Australasian Workshop on Health Informatics and Knowledge Management - Volume 129
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RuleML'13 Proceedings of the 7th international conference on Theory, Practice, and Applications of Rules on the Web
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Ambient Intelligence is an emerging discipline that requires the integration of expertise from a multitude of scientific fields The role of Artificial Intelligence is crucial not only for bringing intelligence to everyday environments, but also for providing the means for the different disciplines to collaborate In this paper we describe the design of a reasoning framework, applied to an operational Ambient Intelligence infrastructure, that combines rule-based reasoning with reasoning about actions and causality on top of ontology-based context models The emphasis is on identifying the limitations of the rule-based approach and the way action theories can be employed to fill the gaps.