Mathematical formalism for agent-based model of proteins interaction inside cancer cell

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Samir Zouhri, Mohcine El Baroudi
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引用次数: 0

Abstract

. Agent-based models can be used to describe a wide range of complex systems, in which the constituent elements (agents) communicate with one another and the system’s global dynamics are governed by the local interactions among the agents. Because formal analysis of complex multi-agent systems is challenging, computer simulations are frequently used to investigate them. While computer simulations are extremely valuable, their results are not formally validated by the observed behavior. As a result, a mathematical framework for representing multi-agent systems and formally establishing their properties is required. One such framework is that which translate the Agent based model to polynomial dynamical system. The aim of this work is to represent our existing Agent based model for the interaction of proteins within cancer cell using mathematical formulation and to analyze its dynamic.
基于agent的肿瘤细胞内蛋白质相互作用模型的数学形式
。基于智能体的模型可用于描述各种复杂系统,在这些系统中,组成元素(智能体)相互通信,系统的全局动态由智能体之间的局部交互控制。由于复杂的多智能体系统的形式化分析具有挑战性,因此经常使用计算机模拟来研究它们。虽然计算机模拟非常有价值,但它们的结果并没有被观察到的行为正式验证。因此,需要一个数学框架来表示多智能体系统并形式化地建立它们的属性。其中一个框架就是将基于Agent的模型转化为多项式动力系统。本工作的目的是用数学公式表示我们现有的基于Agent的癌细胞内蛋白质相互作用模型,并分析其动态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Communications in Mathematical Biology and Neuroscience
Communications in Mathematical Biology and Neuroscience COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.10
自引率
15.40%
发文量
80
期刊介绍: Communications in Mathematical Biology and Neuroscience (CMBN) is a peer-reviewed open access international journal, which is aimed to provide a publication forum for important research in all aspects of mathematical biology and neuroscience. This journal will accept high quality articles containing original research results and survey articles of exceptional merit.
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