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The balance between adaptability and adaptation

机译:适应性与适应性之间的平衡

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In his 1983 book, Adaptability, Michael Conrad explored the quantitative relationship between adaptability and adaptation using the conditional 'entropy' of information theory as his primary tool. The conditional entropy can be used to estimate the connectivity of the network of system exchanges, a key indicator of system stability. In fact, the May-Wigner criterion for the stability of linear dynamical systems can be recast using the conditional entropy to help identify the boundary along which adaptability and adaptation are exactly in balance-the 'edge of chaos' as it is popularly known. Real data on networks of ecosystem flows indicate that in general these systems do not exist nigh upon the edge of chaos, but rather they populate a much wider 'window of vitality' that exists between the realms of chaotic and deterministic dynamics. It appears that the magnitudes of network flows within this region are distributed in power law fashion. The theory also suggests that an absolute limit to the connectivity of natural self-organizing systems exists, at approximately 3.015 effective connections per node. (C) 2002 Elsevier Science Ireland Ltd. All rights reserved. [References: 22]
机译:迈克尔·康拉德(Michael Conrad)在1983年出版的《适应性》一书中,以信息论的条件“熵”为主要工具,探索了适应性与适应性之间的定量关系。条件熵可用于估计系统交换网络的连通性,这是系统稳定性的关键指标。实际上,可以使用条件熵来重现线性动力学系统稳定性的May-Wigner准则,以帮助确定自适应性和自适应性恰好处于平衡状态的边界,即众所周知的“混沌边缘”。有关生态系统流量网络的真实数据表明,总体而言,这些系统并不存在于混乱的边缘,而是在混乱和确定性动力学领域之间存在着更为广阔的“活力之窗”。看来,该区域内网络流量的大小以幂律方式分布。该理论还表明,存在对自然自组织系统的连通性的绝对限制,每个节点的有效连接数约为3.015。 (C)2002 Elsevier Science Ireland Ltd.保留所有权利。 [参考:22]

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