Distribución λ-generalizada en la simulación de sistemas estocásticos complejos

Abstract

This paper presents a technique to design computers stochastic models of adaptative complex systems using automata nets. The method consist in construct models for subsystems through learning automata, after that, it is necessary find the random relationships that allow interactions between components. So, it is possible construct an automata net as a model of the system in study. In the same way, it is possible design an adaptative plan to represent the systems change as a space-time function. The model so construct can be simulated, in a computer, using generators of random vectors. In specific, these vectors are used in both simulation of the relationships between different automatas and in the adaptative plan operators. This method can be used not only to know about natural complex systems but also in design of synthetic complex organisms that presents artificiallife properties.

Keywords

• Distribución λ-generalizada
• Sistema complejo
• Autómata de aprendizaje
• Plan adaptativo
• Variable aleatoria
• Vida artificial