Home // International Journal On Advances in Intelligent Systems, volume 11, numbers 1 and 2, 2018 // View article


From Compartments to Agents via Fuzzy Models - Modeling and Analysis of Complex Behavior of Physiological Systems

Authors:
Sebastian Meszyński
Oleksandr Sokolov
Aleksandra Mreła

Keywords: multiagent system; agent; linear algebra; matrix

Abstract:
It is well-known that analytical modeling and computer simulation of the physiological systems is a complex problem with a great number of variables, equations, and non-linear relations. There are several approaches for such modeling. One of them is so-called compartment modeling. Each compartment is assumed to be a homogeneous entity, within which modeled entities are equivalent. Another approach is multi-agent modeling, which consists of creating agents with a more complex structure in comparing with the compartment and a more complex logic of behavior and communication. In the paper, we decided that before building a multi-agent model to try to describe the communication of the system elements using the rules of the class 'state-action' and transferring such relations to the properties of the agents. In order to analyze the dynamics of the behavior of the multi-agent system, the matrix description method was proposed. As an example, we investigate in the article the different models of the insulin-glucose physiological system.

Pages: 46 to 54

Copyright: Copyright (c) to authors, 2018. Used with permission.

Publication date: June 30, 2018

Published in: journal

ISSN: 1942-2679