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Modeling and verifying context-aware non-monotonic reasoning agents

Rakib, Abdur; Haque, Hafiz Mahfooz Ul

Authors

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

Hafiz Mahfooz Ul Haque



Abstract

© 2015 IEEE. This paper complements our previous work on formal modeling of resource-bounded context-aware systems, which handle inconsistent context information using defeasible reasoning, by focusing on automated analysis and verification. A case study demonstrates how model checking techniques can be used to formally analyze quantitative and qualitative properties of a context-aware system based on message passing among agents. The behavior (semantics) of the system is modeled by a term rewriting system and the desired properties are expressed as LTL formulas. The Maude LTL model checker is used to perform automated analysis of the system and verify non-conflicting context information guarantees it provides.

Start Date Sep 21, 2015
Publication Date Nov 30, 2015
Peer Reviewed Peer Reviewed
Pages 61-69
Book Title 2015 ACM/IEEE International Conference on Formal Methods and Models for Codesign (MEMOCODE)
Institution Citation Rakib, A., & Haque, H. M. U. (2015). Modeling and verifying context-aware non-monotonic reasoning agents. In 2015 ACM/IEEE International Conference on Formal Methods and Models for Codesign (MEMOCODE), (61-69). https://doi.org/10.1109/MEMCOD.2015.7340471
DOI https://doi.org/10.1109/MEMCOD.2015.7340471
Keywords formal modeling, model checking, context-aware
systems, rule-based reasoning, defeasible reasoning, multi-agent systems
Publisher URL http://dx.doi.org/10.1109/MEMCOD.2015.7340471
Related Public URLs http://ieeexplore.ieee.org/document/7340471/?reload=true
Additional Information Title of Conference or Conference Proceedings : The 13th ACM-IEEE International Conference on Formal Methods and Models for System Design

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