An agent based framework for modelling neuronal regulators of the biological systems

Abstract

The neuronal regulators of biological systems are very difficult to deal with since they present nonstructured problems. The agent paradigm can analyze this type of systems in a simple way. In this paper, a formal agent-based framework that incorporates aspects such as modularity, flexibility and scalability is presented. Moreover, it enables the modeling of systems that present distribution and emergence characteristics. The proposed framework provides a definition of a model for the neuronal regulator of the lower urinary tract. Several examples of the experiment have been carried out using the model as presented, and the results have been validated by comparing them with real data. The developed simulator can be used by specialists in research tasks, in hospitals and in the field of education.