Date: 15th, July(tue) 16:30-
Place：Room Ew-305, E Block,IIS, The University of Tokyo 
Speaker：Kenji Leibnitz(Osaka University Graduate Schoolof Information Science and Technology)
Title：Biologically-inspired Attractor Selection for Self-Adaptive
Network Control

Abstract:
Biological systems are characterized by the existence of an inherent
stochastic component since in nature nothing is perfect and there is no
determinism. For example, fluctuations can be found as the driving force for
information processing through the nonlinear behavior inherent to gene
networks. Such types of behavior can be adopted in noise-assisted mechanisms
to control and manage information networks. Traditionally designed
information networks are capable of adapting to certain changes in the
environment as long as these fall within a certain predicted range of
pre-programmed and pre-installed rules. In this talk, we will discuss a
robust and self-adaptive approach called attractor selection and illustrate
how this can be used to control and manage information networks.