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网络化缓冲:复杂自适应系统中分布式鲁棒性的一种基本机制。

Networked buffering: a basic mechanism for distributed robustness in complex adaptive systems.

作者信息

Whitacre James M, Bender Axel

机构信息

School of Computer Science, University of Birmingham, Edgbaston, UK.

出版信息

Theor Biol Med Model. 2010 Jun 15;7:20. doi: 10.1186/1742-4682-7-20.

Abstract

A generic mechanism--networked buffering--is proposed for the generation of robust traits in complex systems. It requires two basic conditions to be satisfied: 1) agents are versatile enough to perform more than one single functional role within a system and 2) agents are degenerate, i.e. there exists partial overlap in the functional capabilities of agents. Given these prerequisites, degenerate systems can readily produce a distributed systemic response to local perturbations. Reciprocally, excess resources related to a single function can indirectly support multiple unrelated functions within a degenerate system. In models of genome:proteome mappings for which localized decision-making and modularity of genetic functions are assumed, we verify that such distributed compensatory effects cause enhanced robustness of system traits. The conditions needed for networked buffering to occur are neither demanding nor rare, supporting the conjecture that degeneracy may fundamentally underpin distributed robustness within several biotic and abiotic systems. For instance, networked buffering offers new insights into systems engineering and planning activities that occur under high uncertainty. It may also help explain recent developments in understanding the origins of resilience within complex ecosystems.

摘要

提出了一种通用机制——网络缓冲,用于在复杂系统中生成稳健特性。它需要满足两个基本条件:1)主体具有足够的通用性,能够在系统中执行不止一个单一功能角色;2)主体具有退化性,即主体的功能能力存在部分重叠。在满足这些前提条件的情况下,退化系统能够轻松地对局部扰动产生分布式的系统响应。相反,与单一功能相关的多余资源可以间接支持退化系统内的多个不相关功能。在假设基因功能具有局部决策和模块化的基因组:蛋白质组映射模型中,我们验证了这种分布式补偿效应会增强系统特性的稳健性。网络缓冲发生所需的条件既不苛刻也不罕见,这支持了这样一种推测,即退化性可能从根本上支撑了几个生物和非生物系统中的分布式稳健性。例如,网络缓冲为在高度不确定性下进行的系统工程和规划活动提供了新的见解。它也可能有助于解释近期在理解复杂生态系统恢复力起源方面的进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5509/2901314/18eca9656dc4/1742-4682-7-20-1.jpg

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