JaCalIVE provides a method to develop this kind of IVEs along with a supporting platform to execute them. JaCalIVE is based on the MAM5 meta-model Figure 1 which describes a method to design IVEs. MAM5 is based in the A & A meta-model that describes environments for MAS as populated not only by agents, but also for other entities that are called artifacts. According to this, an IVE is composed of three important parts: artifacts, agents and physical simulation. Artifacts are the elements in which the environment is modelled. Agents are the IVE intelligent part. The physical simulation is in charge of giving the IVE the look of the real or physical world, allowing to simulate physical fenomenal such as gravity or collision detection.


Figure 1. Meta-modelo MAM5 de un IVE basado en A&A

In the last years, there have been different approaches for using MAS as a paradigm for modelling and engineering IVEs, but they have some open issues: low generality and then reusability; weak support for handling full open and dynamic environments where objects are dynamically created and destroyed. As a way to tackle these open issues, and based on the MAM5 meta-model, we have developed the JaCalIVE framework.

It provides a method to develop this kind of applications along with a supporting platform to execute them. Figure 2 shows the steps that should be followed in order to develop an IVE according to the JaCalIVE framework.



Figure 2. General Scheme, JaCalIVE


Related Publications

A. Barella, A. Ricci, O. Boissier, and C. Carrascosa. MAM5: Multi-Agent Model
For Intelligent Virtual Environments. In 10th European Workshop on Multi-Agent
Systems (EUMAS 2012), pages 16-30, 2012. Bibtex

J.A. Rincon, C. Carrascosa and Emilia Garcia
Developing Intelligent Virtual Environments using MAM5 Meta-Model
International Conference on Practical Applications of Agents and Multi-Agent Systems pp. In Press. (2014) Bibtex

J.A. Rincon, Emilia Garcia, V. Inglada and C. Carrascosa
Developing Adaptive Agents Situated in Intelligent Virtual Environments
International Conference on Hybrid Artificial Intelligence System pp. In Press. (2014) Bibtex


PhD Student. Jaime Andres Rincon Arango e-mail: jrincon(at)dsic(dot)upv(dot)es

Dr. Emilia Garcia e-mail: mgarcia(at)dsic(dot)upv(dot)es

Dr. Vicente Julian Inglada e-mail: vinglada(at)dsic(dot)upv(dot)es

Dr. Carlos Carrascosa Casamayor e-mail: carrasco(at)dsic(dot)upv(dot)es