18 research outputs found
The wisdom of networks: A general adaptation and learning mechanism of complex systems: The network core triggers fast responses to known stimuli; innovations require the slow network periphery and are encoded by core-remodeling
I hypothesize that re-occurring prior experience of complex systems mobilizes
a fast response, whose attractor is encoded by their strongly connected network
core. In contrast, responses to novel stimuli are often slow and require the
weakly connected network periphery. Upon repeated stimulus, peripheral network
nodes remodel the network core that encodes the attractor of the new response.
This "core-periphery learning" theory reviews and generalizes the heretofore
fragmented knowledge on attractor formation by neural networks,
periphery-driven innovation and a number of recent reports on the adaptation of
protein, neuronal and social networks. The coreperiphery learning theory may
increase our understanding of signaling, memory formation, information encoding
and decision-making processes. Moreover, the power of network periphery-related
'wisdom of crowds' inventing creative, novel responses indicates that
deliberative democracy is a slow yet efficient learning strategy developed as
the success of a billion-year evolution.Comment: The 2015 preliminary version can be downloaded as an earlier version
of the final paper here. Please find illustrative videos here:
http://networkdecisions.linkgroup.hu and a video abstract here:
https://youtu.be/IIjP7zWGjV
The role of mesencephalic neurons in the interactions between the medullary respiratory center and other systems in the carp, Cyprinius carpio L
SIGLEBSE B210618P / UCL - Université Catholique de LouvainBEBelgiu
Rethinking the Future of Sustainability: From silos to systemic resilience
Claudia Juech is Managing Director of Research, Rockefeller Foundation, NYC and Evan S. Michelson is Associate Director, Rockefeller Foundation, NYC.