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

Rakib, Abdur; Faruqui, Rokan Uddin

Authors

Profile image of Rakib Abdur

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.

Presentation Conference Type Conference Paper (published)
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
Electronic ISSN 1867-822X
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
Contract Date Jun 16, 2017