Abstract
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.
Original language | English |
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Title of host publication | Artificial Intelligence |
Subtitle of host publication | Theories, Models and Applications - 6th Hellenic Conference on AI, SETN 2010, Proceedings |
Pages | 213-222 |
Number of pages | 10 |
DOIs | |
Publication status | Published - 23 Apr 2010 |
Externally published | Yes |
Event | 6th Hellenic Conference on Artificial Intelligence: Theories, Models and Applications - Athens, Greece Duration: 4 May 2010 → 7 May 2010 Conference number: 6 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 6040 LNAI |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 6th Hellenic Conference on Artificial Intelligence |
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Abbreviated title | SETN 2010 |
Country/Territory | Greece |
City | Athens |
Period | 4/05/10 → 7/05/10 |