Báo cáo y học: "Networked Research buffering: a basic mechanism for distributed robustness in complex adaptive systems"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: Networked Research buffering: a basic mechanism for distributed robustness in complex adaptive systems. | Whitacre and Bender Theoretical Biology and Medical Modelling 2010 7 20 http content 7 1 20 THEORETICAL BIOLOGY AND MEDICAL MODELLING RESEARCH Open Access Networked buffering a basic mechanism for distributed robustness in complex adaptive systems James M Whitacre 1 and Axel Bender2 Correspondence jwhitacre79@ 1 School of Computer Science University of Birmingham Edgbaston UK Full list of author information is available at the end of the article 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 . 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. Introduction Robustness reflects the ability of a system to maintain functionality or some measured output as it is exposed to a variety of external environments or internal conditions. Robustness is .

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