Modeling and verifying context-aware non-monotonic reasoning agents

Rakib Abdur, Hafiz Mahfooz Ul Haque

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

5 Citations (Scopus)

Abstract

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.
Original languageEnglish
Title of host publication2015 ACM/IEEE International Conference on Formal Methods and Models for Codesign (MEMOCODE)
Place of PublicationAustin, TX, USA
PublisherIEEE
Pages61-69
Number of pages9
ISBN (Electronic)978-1-5090-0237-5
ISBN (Print)978-1-5090-0238-2
DOIs
Publication statusPublished - 21 Sept 2015
Externally publishedYes
Event13th ACM-IEEE International Conference on Formal Methods and Models for System Design - The University of Texas at Austin, Texas at Austin, United States
Duration: 21 Sept 201523 Sept 2015
Conference number: 13
http://memocode.irisa.fr/2015/

Conference

Conference13th ACM-IEEE International Conference on Formal Methods and Models for System Design
Abbreviated titleMEMOCODE'15
Country/TerritoryUnited States
CityTexas at Austin
Period21/09/1523/09/15
Internet address

Keywords

  • Formal modeling
  • Model checking
  • Context-aware systems
  • Rule-based reasoning
  • Defeasible reasoning
  • Multi-agent systems

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