Agent-based modelling and simulation of insulin-glucose subsystem
2016 (English)In: Proceedings of the Fifth International Conference on Intelligent Systems and Applications, 2016, 63-68 p.Conference paper (Refereed)
Mathematical analytical modeling and computer simulation of the physiological system is a complex problem with great number of variables and equations. The objective of this research is to describe the insulin-glucose subsystem using multi-agent modeling based on intelligence agents. Such an approach makes the modeling process easier and clearer to understand; moreover, new agents can be added or removed more easily to any investigations. The Stolwijk-Hardy mathematical model is used in two ways firstly by simulating the analytical model and secondly by dividing up the same model into several agents in a multiagent system. In the proposed approach a multi-agent system was used to build a model for glycemic homeostasis. Agents were used to represent the selected elements of the human body that play an active part in this process. The experiments conducted show that the multi-agent model has good temporal stability with the implemented behaviors, and good reproducibility and stability of the results. It has also shown that no matter what the order of communication between agents, the value of the result of the simulation was not affected. The results obtained from using the framework of multi-agent system actions were consistent with the results obtained with insulin-glucose models using analytical modeling.
Place, publisher, year, edition, pages
2016. 63-68 p.
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject Complex Systems – Microdata Analysis
IdentifiersURN: urn:nbn:se:du-23464ISBN: 978-1-61208-518-0OAI: oai:DiVA.org:du-23464DiVA: diva2:1049153
The Fifth International Conference on Intelligent Systems and Applications, INTELLI 2016, Barcelona, Spain, November 13-17 2016