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A formal approach to modelling and verifying resource-bounded context-aware agents

Rakib, Abdur; Faruqui, Rokan Uddin

Authors

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Rakib Abdur Rakib.Abdur@uwe.ac.uk
Senior Lecturer in Mobile Security

Rokan Uddin Faruqui



Contributors

Phan Cong Vinh
Editor

Nguyen Manh Hung
Editor

Nguyen Thanh Tung
Editor

Junichi Suzuki
Editor

Abstract

There has been a move of context-aware systems into safety-critical domains including healthcare, emergency scenarios, and disaster recovery. These systems are often distributed and deployed on resource-bounded devices. Therefore, developing formal techniques for modelling and designing context-aware systems, verifying requirements and ensuring functional correctness are major challenges. We present a framework for the formal representation and verification of resource-bounded context-aware systems. We give ontological representation of contexts, translate ontologies to a set of Horn clause rules, based on these rules we build multi-agent context-aware systems and encode them into Maude specification, we then verify interesting properties of such systems using the Maude LTL model checker. © 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.

Citation

Rakib, A., & Faruqui, R. U. (2013). A formal approach to modelling and verifying resource-bounded context-aware agents. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 109 LNICST, 86-96. https://doi.org/10.1007/978-3-642-36642-0_9

Journal Article Type Conference Paper
Publication Date Mar 14, 2013
Deposit Date Jun 16, 2017
Journal Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
Print ISSN 1867-8211
Publisher Springer Verlag (Germany)
Peer Reviewed Peer Reviewed
Volume 109 LNICST
Pages 86-96
Book Title Context-Aware Systems and Applications
ISBN 9783642366413
DOI https://doi.org/10.1007/978-3-642-36642-0_9
Keywords pervasive computing, context-awareness, multi-agent systems, ontology, model checking
Public URL https://uwe-repository.worktribe.com/output/939949
Publisher URL http://dx.doi.org/10.1007/978-3-642-36642-0_9
Related Public URLs https://link.springer.com/chapter/10.1007/978-3-642-36642-0_9