Simulation

Durante la última década se ha avanzado mucho en la estandarización de una base teórica sólida gracias al asentamiento de un framework generalmente aceptado como DEVS. Asimismo, han aparecido un buen número de librerías y productos orientados a paradigmas más evolucionados como los basados en Agentes Inteligentes.

In this paper we explore how we can use Specification and Description Language (SDL) to represent environmental models. Since the main concern in this kind of models is the representation of the geographical information data, we analyze how we can represent this information in the SDL diagrams. We base our approach using two examples, a representation of the Fibonacci function using a cellular automaton, and the representation of a wildfire model. To achieve this we propose the use of a language extension to Specification and Description Language.

The paper introduces a novel method to represent slab avalanche phenomena.
The model is based on a cellular automaton generalization named m:n-CAk. This generalization allows the use of
different layers in a single cellular automaton. Each one of these layers represents the GIS data needed to perform the calculations. The model is represented using Specification and Description Language, and is implemented in

Formal languages become important tools since allows the complete understanding of the model and helps in its implementation. However only few simulation tools allow an automatic execution of a simulation model based in a formalization of the system. Specification and Description Language is a modern object oriented

SDL is a graphical language, standardized under the Z.100 recommendation, widely used to represent telecommunication systems, process control and real-time applications in general. In this paper we have three objectives, first present an algorithm that allows the transformation of a DEVS specification to an SDL specification. Second we present a XML representation for the SDL language; this XML representation can help in an automatic transformation of the SDL model representation to a DEVS model representation.

Abstract: