Historically, theoretical biology was built on mathematics in Europe. The FrenchSpeaking Society of Theoretical Biology (SFBT), strong with a long tradition in biomathematics, federates theoretical biology in French-Speaking countries and France in particular. For several years now, with the increase of computational means and the development of research in the domain of complex systems, the framework of theoretical biology evolved towards more computational approaches. The Spring School 2012 of the SFBT reflected this trend by addressing the theme of numerical experimentations and hybrid approaches which associate continuous and discrete models. On this 2014 edition of the seminar of the society, we wished to go one step further by promoting discussions on the subject of Artificial Life. Both Theoretical Biology and Artificial Life aim to understand the Living. The difference is essentially a semantical one and is often linked to the scale at which the problem is addressed. In theoretical biology, we ‘‘make models’’, often along a topdown approach on the basis of mathematical equations. In artificial life, we ‘‘simulate virtual words’’ along a reciprocal bottom-up approach based on numerical entities. As different as they may appear and as different as the associated communities may be, their aim remains the same: deciphering the mechanisms of the Living and forecasting its evolution. The two approaches converge in the sense that each provides some elements of understanding. The first paper by Atangana ‘‘Modeling the enzyme kinetic reaction’’ is such a contribution for the understanding of enzymatic mechanisms. In the other hand, the following paper by Bedessem

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法语理论生物学学会第三十四届研讨会：圣面粉（康塔尔），法国，2014 年 5 月 26-28 日

从历史上看，理论生物学是建立在欧洲的数学之上的。法语理论生物学学会 (SFBT) 在生物数学方面有着悠久的传统，它在法语国家，特别是法国联合了理论生物学。几年来，随着计算手段的增加和复杂系统领域研究的发展，理论生物学的框架朝着更多的计算方法发展。SFBT 的 Spring School 2012 通过解决将连续和离散模型关联起来的数值实验和混合方法的主题，反映了这一趋势。在这个 2014 年的社会研讨会上，我们希望更进一步，推动关于人工生命主题的讨论。理论生物学和人工生命都旨在了解生命。差异本质上是语义上的差异，通常与解决问题的规模有关。在理论生物学中，我们“制作模型”，通常是在数学方程的基础上采用自上而下的方法。在人工生命中，我们通过基于数字实体的自下而上的互惠方法“模拟虚拟词”。尽管它们可能看起来不同，也可能与相关社区不同，但它们的目标仍然相同：破译生命的机制并预测其进化。这两种方法在每个方法都提供了一些理解元素的意义上趋于一致。Atangana 的第一篇论文“酶动力学反应建模”就是对理解酶促机制的贡献。另一方面，