Modelling complex biological systems using an agent-based approach.

IF 1.4
Mike Holcombe, Salem Adra, Mesude Bicak, Shawn Chin, Simon Coakley, Alison I Graham, Jeffrey Green, Chris Greenough, Duncan Jackson, Mariam Kiran, Sheila MacNeil, Afsaneh Maleki-Dizaji, Phil McMinn, Mark Pogson, Robert Poole, Eva Qwarnstrom, Francis Ratnieks, Matthew D Rolfe, Rod Smallwood, Tao Sun, David Worth
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Abstract

Many of the complex systems found in biology are comprised of numerous components, where interactions between individual agents result in the emergence of structures and function, typically in a highly dynamic manner. Often these entities have limited lifetimes but their interactions both with each other and their environment can have profound biological consequences. We will demonstrate how modelling these entities, and their interactions, can lead to a new approach to experimental biology bringing new insights and a deeper understanding of biological systems.

使用基于主体的方法对复杂生物系统建模。
在生物学中发现的许多复杂系统是由许多组成部分组成的,其中单个因子之间的相互作用导致结构和功能的出现,通常以高度动态的方式出现。通常,这些实体的寿命有限,但它们彼此之间以及它们与环境的相互作用会产生深远的生物学后果。我们将展示如何建模这些实体,以及它们之间的相互作用,可以导致实验生物学的新方法,带来新的见解和对生物系统的更深层次的理解。
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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