scholarly journals A model-driven approach for constructing ambient assisted-living multi-agent systems customized for Parkinson patients

2016 ◽  
Vol 111 ◽  
pp. 34-48 ◽  
Author(s):  
Iván García-Magariño ◽  
Guillermo Palacios-Navarro
Keyword(s):  
Assisted Living ◽  
Ambient Assisted Living ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Model Driven ◽  
Multi Agent ◽  
Model Driven Approach

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.

scholarly journals Tendencies in Multi-Agent Systems: A Systematic Literature Review

2020 ◽  
Vol 23 (1) ◽  
Author(s):  
Mariana Falco ◽  
Gabriela Robiolo
Keyword(s):  
Assisted Living ◽  
Ambient Assisted Living ◽  
Multi Agent Systems ◽  
Hazard Management ◽  
Testing And Debugging ◽  
Agent Systems ◽  
Engineering Problems ◽  
The Status ◽  
Multi Agent ◽  
Complex Engineering

The application of Artificial Intelligence mechanisms allows the development of systems capable to solve very complex engineering problems. Multi-agent systems (MAS) are one paradigm that allows an alternative way to design distributed control systems. While research in this area grew exponentially before 2009, there is a need to understand the status quo of the field from 2009 to June 2017. An extension of the results of a SLR related to Multi-Agent Systems, its applications and research gaps, following Kitchenham and Wholin guidelines are presented in this paper. From the analysis of 279 papers (out of 3522 candidates), our findings suggest that: a) there were 20 gaps related to agent-oriented methodologies; coordination, cooperation and negotiation; modelling, developing, testing and debugging; b) 24 gaps related to specific domains (recycling, dynamic evacuation, hazard management, health-care, industry, logistics and manufacturing, machine learning, ambient assisted living); and 14 gaps related to specific areas within MAS (A-Teams, dynamic MAS and mobile agents, ABMS, evolutionary MAS, and self-organizing MAS). These gaps specify lines of research where the MAS community must work to achieve the unification of the agent-oriented paradigm; as well as strengthen ties with the industry.

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

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

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
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