Ontology-driven coordination model for multiagent-based mobile workforce brokering systems

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Coordination has been recognized by many researchers as the most important feature of multi-agent systems. Coordination is defined as managing interdependencies amongst activities (Malone and Crowston in ACM Comput. Surv. 26(1):87-119, 1994). The traditional approach of implementing a coordination mechanism is to hard-wire it into a coordination system at design time. However, in dynamic and open environments, many attributes of the system cannot be accurately identified at the design time. Therefore, dynamic coordination, capable of coordinating activities at run-time, has emerged. On the other hand, a successful dynamic coordination model for multi-agent systems requires knowledge sharing as well as common vocabulary. Therefore, an ontological approach is an appropriate way in proposing dynamic coordination models for multi-agent systems. In this paper, an Ontology-Driven Dynamic Coordination Model (O-DC) for Multiagent-Based Mobile Workforce Brokering Systems (MWBS) (Mousavi et al. in Int. J. Comput. Sci. 6:(5):557-565, 2010; Mousavi et al. in Proceedings of 4th IEEE international symposium on information technology, ITSim'10, Kuala Lumpur, Malaysia, 15-17 June 2010, vol. 3, pp. 1416-1421, 2010; Mousavi and Nordin in Proceedings of the IEEE international conference on electrical engineering and informatics, Bandung, Indonesia, 17-19 June 2007, pp. 294-297, 2007) is proposed and formulated. Subsequently, the applicability of O-DC is examined via simulation based on a real-world scenario.

Original languageEnglish
Pages (from-to)768-787
Number of pages20
JournalApplied Intelligence
Volume36
Issue number4
DOIs
Publication statusPublished - 2012

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Keywords

  • Dynamic coordination
  • Mobile workforce brokering system
  • Mobile workforce management system
  • Multi-agent systems
  • Ontology

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Ontology-driven coordination model for multiagent-based mobile workforce brokering systems. / Mousavi, Arash; Nordin, Md. Jan; Ali Othman, Zulaiha.

In: Applied Intelligence, Vol. 36, No. 4, 2012, p. 768-787.

Research output: Contribution to journalArticle

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