2010
DOI: 10.1186/1742-4682-7-20
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Networked buffering: a basic mechanism for distributed robustness in complex adaptive systems

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… Show more

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Cited by 43 publications
(66 citation statements)
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“…A network of multi-functional agents that are similar in some but not all functions is termed functionally degenerate, rather than strictly redundant (Whitacre and Bender, 2010). In such a system (whether in engineering, management or biology), the network provides a buffer against disturbance beyond the portfolio effect, as alternative pathways with different combinations of agents can be recruited to fulfill specific functions.…”
Section: Stabilizing Diversitymentioning
confidence: 99%
“…A network of multi-functional agents that are similar in some but not all functions is termed functionally degenerate, rather than strictly redundant (Whitacre and Bender, 2010). In such a system (whether in engineering, management or biology), the network provides a buffer against disturbance beyond the portfolio effect, as alternative pathways with different combinations of agents can be recruited to fulfill specific functions.…”
Section: Stabilizing Diversitymentioning
confidence: 99%
“…37 Such buffering mechanisms can include positive and negative feedbacks, modularity, and redundancy. [36][37][38][39] Thus, if personality variation arises as a consequence of selection for greater stability of behavior, we should observe evidence of these types of buffering mechanisms in the neuroendocrine components that underlie personality variation. Yet, despite intrinsic flexibility in biological systems, developmental processes must still obey the laws of physics and this can set an upper limit to phenotypic flexibility.…”
Section: Limits To Behavioral Flexibility: Insights From Principles Omentioning
confidence: 96%
“…25 See Wagner & Altenberg (1996). 26 See Edelman & Gally (2001), Von Dassow et al (2000), and Whitacre & Bender (2010). 27 This is discussed with particular examples in Müller &Newman (1999), andMüller (2003).…”
Section: The Evolution Of Essentialismmentioning
confidence: 99%