Evolution unbound: releasing the arrow of complexity
Evolution unbound: releasing the arrow of complexity
复制标题
进化不受束缚：释放复杂性之箭
DOI：
10.1007/s10539-011-9254-6
复制
发表时间：
2011
影响因子：
2.5
通讯作者：
A. Dorin
中科院分区：
文献类型：
--
作者：
K. Korb;A. Dorin
普遍的观点是，进化导致了更复杂的生命形式的持续发展，通常被理解为更复杂的有机体。支持这一观点的论点最近受到了仔细审查，发现有缺陷。然而，复杂性日益增加的现象依然存在。那么，进化是否会增加复杂性呢？人工生命模拟一直未能再现甚至越来越复杂的外观，这构成了一个挑战。模拟，就像科学理论一样，至少有义务保存表象！我们建议这两个问题之间的关系，理解生物复杂性的增长和失败，甚至其外观模型。我们提出了一个不同的理解的复杂性，进化的增长，一个真正违背熵，迄今为止，逃避适当的分析，在信息论的条款。这种复杂性最好地反映在整个生物系统内生态位的增加上。过去和现在的人工生命模拟缺乏资源来生长生态位，从而重现进化的复杂性。我们提出了一个更合适的模拟设计整合环境和生物，让旧的生态位改变和新的出现。
The common opinion has been that evolution results in the continuing development of more complex forms of life, generally understood as more complex organisms. The arguments supporting that opinion have recently come under scrutiny and been found wanting. Nevertheless, the appearance of increasing complexity remains. So, is there some sense in which evolution does grow complexity? Artificial life simulations have consistently failed to reproduce even the appearance of increasing complexity, which poses a challenge. Simulations, as much as scientific theories, are obligated at least to save the appearances! We suggest a relation between these two problems, understanding biological complexity growth and the failure to model even its appearances. We present a different understanding of that complexity which evolution grows, one that genuinely runs counter to entropy and has thus far eluded proper analysis in information-theoretic terms. This complexity is reflected best in the increase in niches within the biosystem as a whole. Past and current artificial life simulations lack the resources with which to grow niches and so to reproduce evolution’s complexity. We propose a more suitable simulation design integrating environments and organisms, allowing old niches to change and new ones to emerge.