Immune System Simulation with Biological Agent Based on Capra Cognitive Framework

T. Banirostam, M. Fesharaki
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引用次数: 12

Abstract

Immune System is a complex system, has been consisting of complex elements with complex interactions, which has characteristics like autopoiesis and evolution. As a model for living systems, Capra Cognitive Framework introduces the main components of living systems. In this paper, functionality of the immune system is going to be perused and simulated through considering this framework. Biological Agents with autopoiesis, evolution and inheritance capability have been introduced and used for simulation. Biological Agents also have the abilities of learning, communication and adaptation. Through the time, inheritance and autopoiesis ability, have led the agent to find emergence and evolution. The effect of some parameters on system's robustness has been illustrated in simulation results.
基于Capra认知框架的生物制剂免疫系统仿真
免疫系统是一个复杂的系统,由复杂的元素组成,相互作用复杂,具有自创生和进化的特点。卡普拉认知框架作为生命系统的模型,介绍了生命系统的主要组成部分。在本文中,将通过考虑这一框架来仔细研究和模拟免疫系统的功能。具有自创生、进化和遗传能力的生物制剂被引入并用于模拟。生物制剂还具有学习、沟通和适应能力。通过时间的推移,遗传和自创生能力,都导致了agent的出现和进化。仿真结果说明了一些参数对系统鲁棒性的影响。
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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