scholarly journals Towards Reducing Complexity of Multi-agent Simulations by Applying Model-Driven Techniques

2018 ◽  
pp. 187-199 ◽  
Author(s):  
Benjamin Hoffmann ◽  
Kevin Chalmers ◽  
Neil Urquhart ◽  
Thomas Farrenkopf ◽  
Michael Guckert
Keyword(s):  
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.

scholarly journals Implementation of data frame work system based on model driven architecture for MAS and Web based applications

2018 ◽  
Vol 7 (2.20) ◽  
pp. 1
Author(s):  
Rajasekhar Nennuri ◽  
Atmakuri Krishna Chaitanya ◽  
Lakshmi Prasanthi Malyala
Keyword(s):  
Structural Engineering ◽  
Multi Agent Systems ◽  
Model Driven Architecture ◽  
Information Mining ◽  
Web Based ◽  
Organization Model ◽  
Model Driven ◽  
Web Information ◽  
Multi Agent ◽  
Frame Work

To utilize those Incomprehensible measures from claiming data effectively on the Web to make the data transforming intelligent, customize Furthermore programmed will be those A large portion vital requisitions of the present information mining innovation organization. Model driven Architecture (MDA) which will be utilized for code era need huge numbers profits In conventional product improvement routines. In this paper, Web information mining transform is acquainted from the see for function, a canny mining framework from claiming data is based for joining together those information mining. The idea of Web information mining is presented the place the part of MDA may be characterized. MDA utilizing J2EE (Java to Enterprise Edition) on portray conduct about operators need aid utilized within this suggested structural engineering. Struts skeleton gives a standard to Creating MAS (multi-agent systems) and Web based requisitions  

Applying Agility and Living Service Systems Thinking to Enterprise Architecture

2017 ◽  
pp. 487-502
Author(s):  
Asif Qumer Gill
Keyword(s):  
Conceptual Model ◽  
Systems Thinking ◽  
Enterprise Architecture ◽  
Design Research ◽  
Service Systems ◽  
Research Approach ◽  
System Modelling ◽  
Model Driven ◽  
Multi Agent ◽  
Model Driven Approach

Adaptive enterprise architecture capability plays an important role in enabling complex enterprise transformations. One of the key challenges when establishing an adaptive enterprise architecture capability is identifying the enterprise context and the scope of the enterprise architecture. The objective of this paper is to develop and present an adaptive enterprise service system (AESS) conceptual model, which is a part of The Gill Framework for Adaptive Enterprise Service Systems. This model has been developed using a “Design Research” approach. The AESS conceptual model assimilates agility, service, and living systems thinking (following multi-agent system modelling) for describing and analyzing the enterprise context and scope for establishing an adaptive enterprise architecture capability. The target audience of this AESS model driven approach includes both, enterprise architecture researchers and practitioners.

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

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
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