scholarly journals Spatiotemporal dynamics driven by the maximization of local information transfer

2019 ◽  
Vol 21 (1) ◽  
pp. 013034
Author(s):  
Kohei Nakajima ◽  
Taichi Haruna
2013 ◽  
Vol 222 (2) ◽  
pp. 437-455 ◽  
Author(s):  
K. Nakajima ◽  
T. Haruna

Author(s):  
Kohei Nakajima ◽  
Tao Li ◽  
Rongjie Kang ◽  
Emanuele Guglielmino ◽  
Darwin G. Caldwell ◽  
...  

2017 ◽  
Vol 23 (1) ◽  
pp. 105-118 ◽  
Author(s):  
Taichi Haruna

Living systems such as gene regulatory networks and neuronal networks have been supposed to work close to dynamical criticality, where their information-processing ability is optimal at the whole-system level. We investigate how this global information-processing optimality is related to the local information transfer at each individual-unit level. In particular, we introduce an internal adjustment process of the local information transfer and examine whether the former can emerge from the latter. We propose an adaptive random Boolean network model in which each unit rewires its incoming arcs from other units to balance stability of its information processing based on the measurement of the local information transfer pattern. First, we show numerically that random Boolean networks can self-organize toward near dynamical criticality in our model. Second, the proposed model is analyzed by a mean-field theory. We recognize that the rewiring rule has a bootstrapping feature. The stationary indegree distribution is calculated semi-analytically and is shown to be close to dynamical criticality in a broad range of model parameter values.


2008 ◽  
Vol 77 (2) ◽  
Author(s):  
Joseph T. Lizier ◽  
Mikhail Prokopenko ◽  
Albert Y. Zomaya

1998 ◽  
Vol 44 (5) ◽  
pp. 629-644 ◽  
Author(s):  
Eric von Hippel

Those who solve more of a given type of problem tend to get better at it—which suggests that problems of any given type should be brought to specialists for a solution. However, in this paper we argue that agency-related costs and information transfer costs (“sticky” local information) will tend drive the locus of problem-solving in the opposite direction—away from problem-solving by specialist suppliers, and towards those who directly benefit from a solution and who have difficult-to-transfer local information about a particular application being solved, such as the direct users of a product or service. We examine the actual location of design activities in two fields in which custom products are produced by “mass-customization” methods: application-specific integrated circuits (ASICs) and computer telephony integration (CTI) systems. In both, we find that users rather than suppliers are the actual designers of the application-specific portion of the product types examined. We offer anecdotal evidence that the pattern of user-based customization we have documented in these two fields is in fact quite general, and we discuss implications for research and practice.


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