A model-driven framework for developing multi-agent systems in emergency response environments

2017 ◽  
Vol 18 (3) ◽  
pp. 1985-2012 ◽  
Author(s):  
Samaneh HoseinDoost ◽  
Tahereh Adamzadeh ◽  
Bahman Zamani ◽  
Afsaneh Fatemi
Keyword(s):  
Emergency Response ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Model Driven ◽  
Multi Agent

TOWARDS THE DEVELOPMENT OF AGENT-BASED ORGANIZATIONS THROUGH MDD

2013 ◽  
Vol 22 (02) ◽  
pp. 1350002 ◽  
Author(s):  
JORGE AGÜERO ◽  
CARLOS CARRASCOSA ◽  
MIGUEL REBOLLO ◽  
VICENTE JULIÁN
Keyword(s):  
Virtual Organization ◽  
Point Of View ◽  
Multi Agent Systems ◽  
Extensive Experience ◽  
Agent Based ◽  
Agent Systems ◽  
Model Driven ◽  
Generic Agent ◽  
Multi Agent ◽  
Model Driven Approach

Virtual Organizations are a mechanism where agents can demonstrate their social skills since they can work in a cooperative and collaborative way. Nonetheless, the development of organizations using Multi-Agent Systems (MAS) requires extensive experience in different methodologies and platforms. Model-Driven Development (MDD) is a technique for generating application code that is developed from basic models and meta-models using a variety of automatic transformations. This paper presents an approach to develop and deploy organization-oriented Multi-Agent Systems using a model-driven approach. Based on this idea, we introduce a relatively generic agent-based meta-model for a Virtual Organization, which was created by a comprehensive analysis of the organization-oriented methodologies used in MAS. Following the MDD approach, the concepts and relationships obtained were mapped into two different platforms available for MAS development, allowing the validation of our proposal. In this way, the resultant approach can generate Virtual Organization deployments from unified meta-models, facilitating the development process of agent-based software from the user point of view.

Model-driven engineering of multi-agent systems based on ontologies

2017 ◽  
Vol 12 (2) ◽  
pp. 157-188 ◽  
Author(s):  
Artur Freitas ◽  
Rafael H. Bordini ◽  
Renata Vieira
Keyword(s):  
Model Driven Engineering ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Model Driven ◽  
Multi Agent

Business and model-driven development of BDI multi-agent systems

2016 ◽  
Vol 182 ◽  
pp. 304-321 ◽  
Author(s):  
Yves Wautelet ◽  
Manuel Kolp
Keyword(s):  
Multi Agent Systems ◽  
Model Driven Development ◽  
Agent Systems ◽  
Model Driven ◽  
Multi Agent

scholarly journals Model-driven engineering techniques for the development of multi-agent systems

2012 ◽  
Vol 25 (1) ◽  
pp. 159-173 ◽  
Author(s):  
José M. Gascueña ◽  
Elena Navarro ◽  
Antonio Fernández-Caballero
Keyword(s):  
Model Driven Engineering ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Model Driven ◽  
Multi Agent

scholarly journals Supporting the platform extensibility for the model-driven development of agent systems by the interoperability between domain-specific modeling languages of multi-agent systems

2017 ◽  
Vol 14 (3) ◽  
pp. 875-912 ◽  
Author(s):  
Geylani Kardas ◽  
Emine Bircan ◽  
Moharram Challenger
Keyword(s):  
Conventional Approach ◽  
Modeling Languages ◽  
Multi Agent Systems ◽  
Model Driven Development ◽  
Agent Systems ◽  
Model Driven ◽  
Domain Specific ◽  
Domain Specific Modeling ◽  
Multi Agent ◽  
Specific Modeling

The conventional approach currently followed in the development of domain-specific modeling languages (DSMLs) for multi-agent systems (MASs) requires the definition and implementation of new model-to-model and model-totext transformations from scratch in order to make the DSMLs functional for each different agent execution platforms. In this paper, we present an alternative approach which considers the construction of the interoperability between MAS DSMLs for a more efficient way of platform support extension. The feasibility of using this new interoperability approach instead of the conventional approach is exhibited by discussing and evaluating the model-driven engineering required for the application of both approaches. Use of the approaches is also exemplified with a case study which covers the model-driven development of an agent-based stock exchange system. In comparison to the conventional approach, evaluation results show that the interoperability approach requires both less development time and effort considering design and implementation of all required transformations.

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