computational ecosystem
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NeuroImage ◽  
2021 ◽  
pp. 118713
Author(s):  
Li Dong ◽  
Jianfu Li ◽  
Qiunan Zou ◽  
Yufan Zhang ◽  
Lingling Zhao ◽  
...  


2020 ◽  
Vol 109 ◽  
pp. 103517
Author(s):  
Alejandro Piad-Morffis ◽  
Yoan Gutiérrez ◽  
Yudivian Almeida-Cruz ◽  
Rafael Muñoz


2019 ◽  
Vol 25 (S2) ◽  
pp. 132-133
Author(s):  
Stéfan van der Walt


2018 ◽  
Vol 15 (11) ◽  
pp. 846-847 ◽  
Author(s):  
Joshua T. Vogelstein ◽  
Eric Perlman ◽  
Benjamin Falk ◽  
Alex Baden ◽  
William Gray Roncal ◽  
...  


2014 ◽  
Vol 7 (1) ◽  
pp. 29-41 ◽  
Author(s):  
Rafael Stubs Parpinelli ◽  
Heitor Silvério Lopes


1991 ◽  
Vol 02 (03) ◽  
pp. 735-753 ◽  
Author(s):  
NATALIE GLANCE ◽  
TAD HOGG ◽  
BERNARDO A. HUBERMAN

We study the adaptive behavior of a computational ecosystem in the presence of time-periodic resource utilities as seen, for example in the day-night load variations of computer use and in the price fluctuations of seasonal products. We do so within the context of the Huberman-Hogg model of such systems. The dynamics is studied for the cases of competitive and cooperative payoff functions with time-modulated resource utilities, and the system’s adaptability is measured by tracking its performance in response to a time-varying environment,



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