Article

Una Metodología para el Modelado de Sistemas de Ingeniería Orientado a Agentes

Inteligencia artificial: Revista Iberoamericana de Inteligencia Artificial, ISSN 1137-3601, Nº. 38, 2008, pags. 39-60 01/2008;
Source: OAI

ABSTRACT En este artículo se presenta una metodología que comprende las fases de conceptualización, análisis, diseño, codificación y pruebas de sistemas de ingeniería basados en agentes, fundamentada en la metodología MultiAgent Systems for INtegrated Automation (MASINA), desarrollada para especificar sistemas multiagentes en ambientes de automatización industrial. La metodología propuesta usa el Lenguaje de Modelado Unificado (UML), ampliamente usado para modelar sistemas de software, y la Técnica de Desarrollo de Sistemas de Objetos (TDSO), la cual es una herramienta para la especificación formal de modelos orientados a objetos. Siguiendo los lineamientos metodológicos para la especificación de sistemas de ingeniería, MASINA se inicia con la fase de conceptualización que permite identificar aquellos componentes del sistema que serán considerados agentes y proponer la arquitectura del sistema multiagentes correspondiente. Estos agentes y sus interrelaciones son especificados e implementados en las fases restantes de la metodología propuesta, usando diagramas UML en la fase de análisis y diseño, y plantillas de TDSO en la fase de diseño.

2 Bookmarks
 · 
374 Views
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: We developed new class of approaches to manufacturing and supply chain decision making. These approaches employ multiagent systems, which consist of a set of intelligent agents hosted on an appropriate software platform. Agent-based technology can potentially solve complex, dynamic decision processes that are distributed. By enabling networks of autonomous yet interacting reasoning elements, this technology provides an alternative to the centralized systems prevailing in industry.
    Intelligent Systems, IEEE 02/2005; 20(1):27- 35. · 1.93 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: One approach for automating industrial processes is a Distributed Control System (DCS) based on a hierarchical architecture. In this hierarchy, each level is characterized by a group of different tasks to be carried out within the control system and by using and generating different information. In this article, a reference model for the development of Intelligent Distributed Control Systems based on Agents (IDCSA) inspired by this hierarchical architecture is presented. The agents of this model are classified in two categories: control agents and service management environment agents. To define these agents we have used an extension of the MAS-Common KADS methodology for Multi-Agent Systems (MAS).
    Knowledge-Based Intelligent Information and Engineering Systems, 9th International Conference, KES 2005, Melbourne, Australia, September 14-16, 2005, Proceedings, Part I; 01/2005
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Our goal in this paper is to introduce and motivate a methodology, called Tropos,1 for building agent oriented software systems. Tropos is based on two key ideas. First, the notion of agent and all related mentalistic notions (for instance goals and plans) are used in all phases of software development, from early analysis down to the actual implementation. Second, Tropos covers also the very early phases of requirements analysis, thus allowing for a deeper understanding of the environment where the software must operate, and of the kind of interactions that should occur between software and human agents. The methodology is illustrated with the help of a case study. The Tropos language for conceptual modeling is formalized in a metamodel described with a set of UML class diagrams.
    Autonomous Agents and Multi-Agent Systems 04/2004; 8(3):203-236. · 0.79 Impact Factor

Full-text (2 Sources)

View
66 Downloads
Available from
May 29, 2014