Coordination languages and their significance
Communications of the ACM
The interdisciplinary study of coordination
ACM Computing Surveys (CSUR)
Multiagent systems: a modern approach to distributed artificial intelligence
Multiagent systems: a modern approach to distributed artificial intelligence
Multiagent systems and societies of agents
Multiagent systems
IEEE Internet Computing
Querying the Semantic Web: A Formal Approach
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Coordination Models for Dynamic Resource Allocation
COORDINATION '00 Proceedings of the 4th International Conference on Coordination Languages and Models
Coordination in Pervasive Computing Environments
WETICE '03 Proceedings of the Twelfth International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises
The Dynamic Selection of Coordination Mechanisms
Autonomous Agents and Multi-Agent Systems
Workflow Management: Models, Methods, and Systems
Workflow Management: Models, Methods, and Systems
A Multi-Agent Infrastructure for Mobile Workforce Management in a Service Oriented Enterprise
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 3 - Volume 03
Dynamic Discovery and Coordination of Agent-Based Semantic Web Services
IEEE Internet Computing
Research Directions for Service-Oriented Multiagent Systems
IEEE Internet Computing
Towards Service-Oriented Ontology-Based Coordination
ICWS '06 Proceedings of the IEEE International Conference on Web Services
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
OWL-T: An Ontology-based Task Template Language for Modeling Business Processes
SERA '07 Proceedings of the 5th ACIS International Conference on Software Engineering Research, Management & Applications
Coordination and Agreement in Multi-Agent Systems
CIA '08 Proceedings of the 12th international workshop on Cooperative Information Agents XII
A coordination framework for Cooperative Information Gathering
International Journal of Advanced Intelligence Paradigms
Dynamic Execution of Coordination Protocols in Open and Distributed Multi-Agent Systems
KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Representing ontologies using description logics, description graphs, and rules
Artificial Intelligence
Multi-stage Dynamic Coordination Model for Large-Scale Crowd's Activities Based on Multi-agent
CSIE '09 Proceedings of the 2009 WRI World Congress on Computer Science and Information Engineering - Volume 01
Ontology-Based Multi-Agent Systems
Ontology-Based Multi-Agent Systems
A coordination model for triplespace computing
COORDINATION'07 Proceedings of the 9th international conference on Coordination models and languages
Objective coordination in multi-agent system engineering: design and implementation
Objective coordination in multi-agent system engineering: design and implementation
An ontological framework for dynamic coordination
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Semantic similarity estimation from multiple ontologies
Applied Intelligence
Agent-based Cloud service composition
Applied Intelligence
Representing and Reasoning About XML with Ontologies
Applied Intelligence
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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.