A reasoning framework for Ambient Intelligence

Theodore Patkos, Ioannis Chrysakis, Antonis Bikakis, Dimitris Plexousakis, Grigoris Antoniou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Citations (Scopus)

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 languageEnglish
Title of host publicationArtificial Intelligence
Subtitle of host publicationTheories, Models and Applications - 6th Hellenic Conference on AI, SETN 2010, Proceedings
Pages213-222
Number of pages10
DOIs
Publication statusPublished - 23 Apr 2010
Externally publishedYes
Event6th Hellenic Conference on Artificial Intelligence: Theories, Models and Applications - Athens, Greece
Duration: 4 May 20107 May 2010
Conference number: 6

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6040 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th Hellenic Conference on Artificial Intelligence
Abbreviated titleSETN 2010
CountryGreece
CityAthens
Period4/05/107/05/10

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Patkos, T., Chrysakis, I., Bikakis, A., Plexousakis, D., & Antoniou, G. (2010). A reasoning framework for Ambient Intelligence. In Artificial Intelligence: Theories, Models and Applications - 6th Hellenic Conference on AI, SETN 2010, Proceedings (pp. 213-222). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6040 LNAI). https://doi.org/10.1007/978-3-642-12842-4_25