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Journals / An International Journal of Optimization and Control: Theories & Applications (IJOCTA) / 2019 / Cilt: 9 - Sayı: 3

Simulation of glucose regulating mechanism with an agent-based software engineering tool

Sevcan EMEK
Vedat EVREN
Şebnem BORA
Pages
15–20
Publication Date
2022-10-11
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Finally, this study which is thought a potential implementation ofagent-based modeling and simulation may contribute to the exploration of otherhomeostatic control systems inside the human body

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study provides a detailed explanation of a regulating mechanism of theblood glucose levels by an agent-based software engineering tool.
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Key Findings & Data:The result of this study shows the local behavior of theagents in the negative feedback loop and illustrates how to balance the bloodglucose levels.
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Conclusion & Impact:Finally, this study which is thought a potential implementation ofagent-based modeling and simulation may contribute to the exploration of otherhomeostatic control systems inside the human body
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

This study provides a detailed explanation of a regulating mechanism of theblood glucose levels by an agent-based software engineering tool. RepastSimphony which is used in implementation of this study is an agent-basedsoftware engineering tool based on the object-oriented programming using Javalanguage. Agent-based modeling and simulation is a computational methodologyfor simulating and exploring phenomena that includes a large set of activecomponents represented by agents. The agents are main components situated inspace and time of agent-based simulation environment. In this study, we presenthormonal regulation of blood glucose levels by our improved agent-basedcontrol mechanism. Hormonal regulation of blood glucose levels is an importantprocess to maintain homeostasis inside the human body. We offer a negativefeedback control mechanism with agent-based modeling approach to regulate thesecretion of insulin hormone which is responsible for increasing the bloodglucose levels. The negative feedback control mechanism run by three mainagents that interact with each other to perform their local actions in thesimulation environment. The result of this study shows the local behavior of theagents in the negative feedback loop and illustrates how to balance the bloodglucose levels. Finally, this study which is thought a potential implementation ofagent-based modeling and simulation may contribute to the exploration of otherhomeostatic control systems inside the human body

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Cite This Article

EMEK, S., EVREN, V., BORA, Ş. (2022). Simulation of glucose regulating mechanism with an agent-based software engineering tool. An International Journal of Optimization and Control: Theories & Applications (IJOCTA), Cilt: 9 - Sayı: 3, 15–20. https://ajindex.com/articles/440586

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References (1)

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