SMA-based simulation of system originally represented with EDO

In the present work a methodology is exposed to model using a Multi-Agent System (MAS) biological and physiological dynamic systems with discrete quantified variables, such as growth and decrease of populations or epidemiological modelling of disease. It is shown a procedure to transform a Ordinary Differential Equations system (ODE) (that models the environment correctly) on an equivalent MAS using a schema based on Monte Carlo method. A practical case based on a mathematical model of Chronic Myeloid Leukaemia (CML) is used to compare the methodology based on agents with the traditional model based on an ODE system. A simulation for each model (MAS and ODE) is executed and the results obtained with both methodologies are compared.