Committee 
Date Time 
Place 
Paper Title / Authors 
Abstract 
Paper # 
SS, MSS 
20220111 13:40 
Nagasaki 
NagasakikenKensetsuSogoKaikan Bldg. (Primary: Onsite, Secondary: Online) 
Model Reduction of Boolean Networks Based on Graph Structure Fuma Motoyama, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS202136 SS202123 
A Boolean network (BN) is widely used as a mathematical model for control of gene regulatory networks. Since a gene regu... [more] 
MSS202136 SS202123 pp.2934 
SS, MSS 
20220111 14:05 
Nagasaki 
NagasakikenKensetsuSogoKaikan Bldg. (Primary: Onsite, Secondary: Online) 
Design of SelfTriggered ReducedOrder Controllers of Probabilistic Boolean Networks Using Reinforcement Learning Michiaki Takizawa, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS202137 SS202124 
We consider the stabilization of Probabilistic Boolean Networks using reinforcement learning. Using reinforcement learni... [more] 
MSS202137 SS202124 pp.3539 
SIP, CAS, VLD, MSS 
20210706 11:15 
Online 
Online 
Pinning Stabilization of Probabilistic Boolean Networks Using Reinforcement Learning Michiaki Takizawa, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS202112 VLD202112 SIP202122 MSS202112 
We consider the pinning stabilization of probabilistic Boolean networks using reinforcement learning. Using reinforcemen... [more] 
CAS202112 VLD202112 SIP202122 MSS202112 pp.6063 
MSS, CAS, IPSJAL [detail] 
20201125 17:25 
Online 
Online 
DataDriven Optimal Reconstruction of Boolean Networks with Noisy Dynamics Koichi Kobayashi (Hokkaido Univ.), Yuhu Wu (Dalian Univ. of Tech.) CAS202025 MSS202017 
A Boolean network is a mathematical model that the dynamics are represented by Boolean functions. In this paper, a metho... [more] 
CAS202025 MSS202017 pp.3439 
NLP, MSS (Joint) 
20190315 09:25 
Fukui 
Bunkyo Camp., Univ. of Fukui 
MSS201893 
Research on network motifs has recently focused on the relationship between form and function, in the context of Boolean... [more] 
MSS201893 pp.6568 
NLP 
20180426 16:25 
Kumamoto 
Kumaoto Univ. 
Construction Methods of Probabilistic Boolean Networks Based on Imperfect Information Katsuaki Umiji, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) NLP201811 
A probabilistic Boolean network (PBN) is one of the mathematical models of gene regulatory networks. In a Boolean networ... [more] 
NLP201811 pp.4952 
CQ 
20170120 09:30 
Osaka 
Osaka University Nakanoshima Center 
A Path Construction Scheme in Reflective Network Tomography for Node Failure Detection Naoya Kiyofuji (Osaka Univ.), Takahiro Matsuda (Osaka Univ./NICT), Shinsuke Hara (Osaka City Univ.), Kenichi Takizawa, Fumie Ono, Ryu Miura (NICT) CQ201697 
Network tomography is a network monitoring method to estimate network internal characteristics from endtoend measureme... [more] 
CQ201697 pp.4146 
CQ (2nd) 
20161006 13:20 
Nagano 
Naganoken Nokyo Building 
[Poster Presentation]
A Study on Network Failure Detection with Reflective Network Tomography Naoya Kiyofuji (Osaka Univ.), Takahiro Matsuda (Osaka Univ./NICT), Shinsuke Hara (Osaka City Univ.), Kenichi Takizawa, Fumie Ono, Ryu Miura (NICT) 
Network tomography is a technique to estimate network internal characteristics by endtoend measurements. An adaptive B... [more] 

VLD, CAS, MSS, SIP 
20160616 15:50 
Aomori 
Hirosaki Shiritsu Kankokan 
Controllability Analysis of Boolean Networks Focusing on Attractors Koichi Kobayashi (Hokkaido Univ.) CAS201612 VLD201618 SIP201646 MSS201612 
In this paper, based on a singleton attractor, the controllability problem of a gene regulatory network modeled by a Boo... [more] 
CAS201612 VLD201618 SIP201646 MSS201612 pp.6166 
MSS, CAS, SIP, VLD 
20150617 09:20 
Hokkaido 
Otaru University of Commerce 
Design of Probabilistic Boolean Networks Based on Network Structure and Steadystate Probabilities Koichi Kobayashi (Hokkaido Univ.), Kunihiko Hiraishi (JAIST) CAS20151 VLD20158 SIP201532 MSS20151 
In this paper, we consider the problem of finding a probabilistic Boolean network (PBN) based on network structure and d... [more] 
CAS20151 VLD20158 SIP201532 MSS20151 pp.16 
CQ, CS (Joint) 
20150421 10:30 
Fukuoka 
Fukuoka Institute of Technology 
Network Failure Detection with MobilityAssisted Boolean Network Tomography Masaki Mukamoto, Takahiro Matsuda (Osaka Univ), Shinsuke Hara (Osaka City Univ), Kenichi Takizawa, Fumie Ono, Ryu Miura (NICT) CQ20153 
Boolean network tomography can identify failure links/nodes in a network by solving a system of Boolean equations to rep... [more] 
CQ20153 pp.1114 
MVE, ITEHI, HISIGVR 
20110629 16:15 
Tokyo 
Sanjo Conference Hall 
An Interpretation of "the Mechanism of Meaning" by ARAKAWA+GINS(3)
 In Order to Detect and Debug Logical Errors in Human Civilization  Kimiaki Tokumaru (System Engineer) MVE201130 
Last year, the author discussed on “What is Virtual Reality?” differentiating cases of “seeing inexistence” and those “b... [more] 
MVE201130 pp.8590 
AI 
20110526 10:30 
Tokyo 
Kwansei Gakuin Univ. Tokyo Marunouchi Campus 
Several Remarks on the Acquisition of WebInformation
 Coexistence of Bit and Linguistic Information, and Corporal Intelligence  Kimiaki Tokumaru (System Engineer) AI20111 
The author has been investigating on the origin and mechanism of language through interdisciplinary researches. He reali... [more] 
AI20111 pp.16 
COMP 
20091016 14:50 
Miyagi 
Tohoku University 
Algorithm for Finding Minimum Reaction Cut of Metabolic Network Takeyuki Tamura (Kyoto Univ.), Kazuhiro Takemoto (Univ. of Tokyo.), Tatsuya Akutsu (Kyoto Univ.) COMP200936 
In this article, we study two problems ReactionCut and MDReactionCut
for calculating minimum reaction cuts of a metabo... [more] 
COMP200936 pp.2734 
MSS 
20090806 15:20 
Tokyo 
JAIST Tokyo Campus 
Polynomialtime Algorithm for Controllability Test of Boolean Networks Koichi Kobayashi (JAIST), Junichi Imura (Tokyo Inst. of Tech.), Kunihiko Hiraishi (JAIST) CST200914 
This paper proposes a polynomialtime algorithm to determine if a Boolean network with control nodes and controlled node... [more] 
CST200914 pp.1318 
MSS 
20090807 10:20 
Tokyo 
JAIST Tokyo Campus 
Analyzing Boolean Networks by Using Integer Programming Tatsuya Akutsu, Morihiro Hayashida, Takeyuki Tamura (Kyoto Univ.) CST200917 
The Boolean network (BN) model is known as a mathematical model of genetic networks and many studies have been done on B... [more] 
CST200917 pp.3136 
NC, NLP 
20090713 15:10 
Nara 
NAIST 
Uncorrelated inputs driven correlations in subBoolean Networks Chikoo Oosawa (Kyushu Inst. of Tech.) NLP200925 NC200918 
We propose an analyzing and comparing method for 12 different subBoolean networks that have three nodes. By applying ra... [more] 
NLP200925 NC200918 pp.6166 
NLP 
20080201 11:10 
Hokkaido 

Analysis of Random Boolean Network Dynamics Based on Onedimensional Mapping Nobumitsu Fujiwara, Shinji Doi, Sadatoshi Kumagai (Osaka Univ.) NLP2007145 
The dynamics of random Boolean networks which are used to model a range
of complex phenomena is studied. The states of... [more] 
NLP2007145 pp.1924 
NLP 
20071122 11:30 
Fukuoka 

Effects of embedded motifs on behavior of Boolean networks Chikoo Oosawa (KIT), Kazuhiro Takemoto (Kyoto Univ.) NLP200795 
We show advantages of feedforward loops using Boolean network that is one of the discrete dynamical models for the trans... [more] 
NLP200795 pp.16 
COMP 
20070525 13:20 
Fukuoka 
Kyushu University 
An O(1.787^n)time Algorithm for Detecting a Singleton Attractor in a Boolean Network Consisting of AND/OR Nodes Takeyuki Tamura, Tatsuya Akutsu (Kyoto Univ.) COMP200713 
The Boolean network (BN) is a mathematical model of genetic networks. It is known that detecting a singleton attractor i... [more] 
COMP200713 pp.1318 