論文
公開件数:63件
No. 掲載種別 単著・共著区分 タイトル 著者 誌名 出版者 巻号頁 出版日 ISSN DOI URL 概要
1 研究論文(国際会議プロシーディングス)
共著
Obtaining the Number of Tree in the Evolution for Genetic Programming with Multiple Trees
Takashi Ito, Takahashi Kenichi, and Michimasa Inaba
The 5th IIAE International Conference on Intelligent Systems and Image Processing 2017 (ICISIP2017)

425-432
2017/09/07




2 研究論文(国際会議プロシーディングス)
共著
Detecting Concentration of Students Using Kinect in E-learning
Takashi Ito, Shuhei Kotake, Takahashi Kenichi, and Michimasa Inaba
The 5th IIAE International Conference on Intelligent Systems and Image Processing 2017 (ICISIP2017)

451-456
2017/09/07




3 研究論文(学術雑誌)
共著
対話システムが話し手役になるためのオープンドメイン独話生成
稲葉通将,吉野友香,高橋健一
人工知能学会論文誌
人工知能学会
31/ 1, 1-9
2016/01




4 研究論文(学術雑誌)
共著
大学生アンケートからの文系理系学生の特徴に関する分析
野津田雄太、高橋健一、稲葉通将
情報処理学会論文誌、教育とコンピュータ
情報処理学会
1/ 4, 83-92
2015/12




5 研究論文(国際会議プロシーディングス)
共著
Machine-Learned Ranking based Non-task-oriented Dialogue Agent using Twitter Data
M. Koshinda, M. Inaba, and K. Takahashi
The 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI/IAT 2015), pp. 5-8, Singapore, December 6-9, 2015.

5-8
2015/12/06




6 研究論文(国際会議プロシーディングス)
共著
Experiments on detection of drinking from face images using neural networks
Kenichi Takahashi, Kana Hiramatsu, and Mami Tetsuishi
Proc. Int. Conf. Soft Computing & Machine Intelligence, pp.97-101,
Nov.23-24, 2015, Hong Kong.

97-101
2015/11/23




7 研究論文(国際会議プロシーディングス)
共著
Knowledge acquisition on risk prediction in driving using neural networks
Takumi Hasegawa, Kenichi Takahashi, and Michimasa Inaba
Proc. the 11th International Conference on Knowledge Management
(ICKM2015), pp.428-433, Nov.4-6, Osaka, Japan, 2015.

428-433
2015/11/04




8 研究論文(国際会議プロシーディングス)
共著
Improvement of Agent Learning for a Card Game based on Multi-channel ART Networks
Nimoto, K., Takahashi, K., Inaba, M.
2015 8th International Conference on Computer and Electrical Engineering (ICCEE 2015), Paris, France, October 12-13, 2015.


2015/10/12




9 研究論文(国際会議プロシーディングス)
共著
Extension of Genetic Programming with Multiple Trees for Agent Learning
Ito, T., Takahashi, K., Inaba, M.
2015 8th International Conference on Computer and Electrical Engineering (ICCEE 2015), Paris, France, October 12-13, 2015.


2015/10/12




10 研究論文(学術雑誌)
共著
自律エージェントのための遺伝的プログラミングの拡張
伊藤崇,高橋健一,稲葉通将
電子情報通信学会論文誌

J98-D/ 6, 905-915
2015/06




11 研究論文(国際会議プロシーディングス)
共著
Experiments on the e-learning interface with data glove
Kenichi Takahashi, Mao Ito, and Michimasa Inaba
Procceedings of 2014 The 4th International Workshop on
ComputerScience and Engineering(WCSE2014)-Winter-

107-115
2014/10/26




12 研究論文(国際会議プロシーディングス)
共著
Improvement of Detection for Warning Students in E-learning Using Web Cameras
Kenichi Takahashi and Masahiro Ueno
Procedia Computer Science Volume 35,
Knowledge-Based and Intelligent Information & Engineering Systems 18th Annual Conference, KES-2014 Gdynia, Poland, September 2014 Proceedings

747-756
2014/09




13 研究論文(国際会議プロシーディングス)
共著
Experiments Assessing Learning of Agent Behavior using Genetic Programming with Multiple Trees
Takashi Ito, Kenichi Takahashi, and Michimasa Inaba
Proc. 6th Int. Conf. on Agents and Artificial Intelligence, Angers, Loire Valley, France, pp.264-271, March 2014

264-271
2014/03




14 研究論文(国際会議プロシーディングス)
共著
Constructing a non-task-oriented dialogue agent using statistical reponse method and gamification
M. Inaba, N.Iwata, F.Toriumi, T.Hirayama, Y. Enokibori, K.Takahashi, and K. Mase
Proc. 6th Int. Conf. on Agents and Artificial Intelligence, Angers, Loire Valley, France, pp.14-21, March 2014

14-21
2014/03




15 研究論文(学術雑誌)
共著
Twitterを用いた非タスク指向型対話システムのための発話候補文獲得
稲葉通将,神園彩香,高橋健一
人工知能学会論文誌

29/ 1, 21-31
2014/01




16 研究論文(国際会議プロシーディングス)
共著
Effects of images displayed for praising or scolding on motivation in e-learning
M. Takeue, K. Takahashi, and M. Inaba
2013 IEEE International Conference on Systems, Man, and Cybernetics, Manchester, UK, pp.2073-2078, Oct., 2013

2073-2078
2013/10




17 研究論文(国際会議プロシーディングス)
共著
Strategy selection by reinforcement learning for multi-car elevator systems
Masaki Ikuta, Kenichi Takahashi, and Michimasa Inaba
2013 IEEE International Conference on Systems, Man, and Cybernetics, Manchester, UK, pp.2479-2484, Oct., 2013

2479-2484
2013/10




18 研究論文(学術雑誌)
共著
A warning system in e-learning using web cameras
Kenichi Takahashi and Kousuke Arita
Proc. 17th Int. Conf. in Knowledge-Based and Intelligent Information and Enginieering Systems, Kitakyusyu, Japan, pp.813-821, Sept.2013

813-821
2013/09




19 研究論文(国際会議プロシーディングス)
共著
Multi-agent reinforcement learning based on multi-channel ART networks
H.Morishita, H.Ueda and K.Takahashi
Proc. Int. Conf. Agents and Artificial Intelligence 2013, Barcelona, Spain

461-464
2013/02/15



3-channel fuzzy ART network $FALCON$ is a good solution to combine reinforcement
learning with state segmentation, where it learns the relations among percepts,
actions and rewards. FALCON, however, does not have a mechanism to predict behavior
of other agents, and thus it is difficult for FALCON to learn the optimal agent's behavior
in a multi-agent circumstance. In this paper, an action prediction module
based on 2-channel fuzzy ART network is proposed, and FALCON is modified in order to be able to register
the output of the action prediction module. The modified FALCON is called {\it FALCON\_AP}.
Moreover, {\it FALCON\_ER} that estimates the expected value of rewards
and selects an action according to the value is proposed. Through experiments in which FALCON, FALCON\_AP
and FALCON\_ER are applied to a card game Hearts, it is shown that FALCON\_ER receives less penalty points
and learns better rules.
20 研究論文(学術雑誌)
共著
Assignment strategy selection for multi-car eleveator group cntrol using reinforcement learning
Taichi Uraji and Kenichi Takahashi
International Journal of Knowledge and Web Intelligence

3/ 2, 163-179
2012/12
1755-8255


This paper discusses the group control of elevators in the web monitoring system for improving efficiency and saving energy; an efficient control method for multi-car elevator using reinforcement learning is proposed. In the method, the control agent selects the best strategy among three strategies, namely Distance-strategy, Passenger-strategy, and Zone-strategy, according to traffic flow. The control agent takes the number of total passengers and the distance from the departure floor to the destination floor of a call into account. Through experiments, the performance of the proposed method is shown; the average service time of the proposed method are compared with the average service time for the cases where the car assignment is made by each of the three strategies.
21 研究論文(国際会議プロシーディングス)
共著
Knowledge acquisition on selection of humanities and sciences using the decision tree
Yuta Notsuda and Kenichi Takahashi
Proc. IEEE Int. Conf. Systems, Man, and Cybernetics, Oct. 14-17, COEX Seoul Korea

126-131
2012/10/14




22 研究論文(国際会議プロシーディングス)
共著
Experiments of displaying images to keep the motivation in e-learning
Masakazu Takeue, Kazutoshi Shimada, Kenichi Takahashi, and Michimasa Inaba
Proc. IEEE Int. Conf. Systems, Man, and Cybernetics, Oct. 14-17, COEX Seoul Korea

120-125
2012/10/14




23 研究論文(国際会議プロシーディングス)
共著
Experiments on an e-learning system for keeping the motivation
K.Shimada, K.Takahashi and H.Ueda
Advances in Intelligent and Soft Computing 126, Khine Soe Thaung (ed,) Advanced Information Technology in Education, Beijing, China, Springer-Verlag、Berlin

161-168
2011/11/03
978-3-642-25907-4


E-learning systems that use computers and the Internet have become popular. E-learning systems have many advantages. However, the users often lose their motivation for learning in the process of studying, and the frequency that they use e-learning systems sometimes decreases. In order to improve their motivation, we add two functions in this paper: (1) a function that users are praised or scolded, (2) a function of limiting the answering time. Also we check their functions’ utility by experiments.
24 研究論文(国際会議プロシーディングス)
共著
Efficient evolutionary learning of agent behavior by genetic programming using the conditional probabilities
Toshiyuki Morioka, Hiroaki Ueda, and Kenichi Takahashi
Proc. 12th International Symposium on Advanced Intelligent Systems(ISIS), LA VIE D'OR Resort, Suwon, Korea,Sep.29-Oct.1, 2011

342-345
2011/09/28




25 研究論文(国際会議プロシーディングス)
共著
Robustness evaluation of digital watermarking based on discrete Wavelet transform
Kiyoharu okagaki, Kenichi Takahashi, and Hiroaki Ueda
Proc. International Conference on Intelligent Information Hiding and Multimedia Signal Processing

114-117
2010/10




26 研究論文(学術雑誌)
共著
ベイジアンネットワークを用いた授業アンケートからの学生行動モデルの構築と考察
原 圭司,高橋 健一,上田 祐彰
情報処理学会論文誌

51/ 4, 1215-1226
2010/04




27 研究論文(国際会議プロシーディングス)
共著
Cooperative learning of BDI elevator agents
Yuta Takata, Yuki Mimura, Hiroaki Ueda, and Kenichi Takahashi
Proc. International Conference on Agents and Artificial Intelligence (ICAART) 2010,Valencia,Spain,

172-177
2010/01




28 研究論文(国際会議プロシーディングス)
共著
Online classifier considering the importance of attributes
H.Ueda, Y.Nasu, Y.Mikura and K.Takahashi
Proc. Pacific Rim International Conference on Artificial Intelligence (PRICAI 2008), Springer LNCS vol.5351
Hanoi, Vietnam

vol.5351, 1098-1103
2008/12




29 研究論文(国際会議プロシーディングス)
共著
A dance synthesis system using motion capture data
Kenichi Takahashi and Hiroaki Ueda
Proc. Pacific Rim Knowedge Acquisition Workshop 2008(PKAW-08),
Hanoi, Vietnam

216-221
2008/12




30 研究論文(国際会議プロシーディングス)
共著
Evolution of multiple tree structured patterns from tree-structured data using clustering
Masatoshi Nagamine, Tetsuhiro Miyahara, Tetsuji Kuboyama, Hiroaki Ueda, Kenichi Takahashi
Proc. Australasian Conference on Artificial Intelligence 2008 (AI-2008),
Springer, Lecture Notes in Artificial Intelligence

vol.5360, 500-511
2008/12




31 研究論文(学術雑誌)
共著
State space segmentation for acquisition of agent behavior
H.Ueda, T.Naraki, Y.Nasu, K.Mikami, K.Takahashi and T.Miyahara
IOS Press Web Intelligence and Agent Systems: An International Journal

6/ 4, 373-385
2008/04




32 研究論文(学術雑誌)
共著
Fuzzy Q-learning with the modified fuzzy ART neural network
上田祐彰,奈良木健志,花田直樹,木本英亨,高橋健一,宮原哲浩
IOS Press Web Intelligence and Agent Systems: An International Journal

5/ 3, 331-341
2007




33 研究論文(国際会議プロシーディングス)
共著
Acquiring Classification rules by using adaptive resonance theory
Hiroaki Ueda, Yo Nasu, Takeshi Yamada, Kenichi Takahashi, Tetsuhiro Miyahara
Proc. 2007 IEEE International Conference on System, Man and Cybernetics, Montreal, Canada

1693-1698
2007/10




34 研究論文(国際会議プロシーディングス)
共著
Resilience evaluation of digital watermarking methods based on orthogonal transforms
西堀美夏,高橋健一,上田祐彰,宮原哲浩
Proc. 2007 IEEE International Conference on System, Man and Cybernetics, Montreal, Canada

1014-1019
2007/10




35 研究論文(国際会議プロシーディングス)
共著
Evolution of characteristic tree structured patterns from semistructured documents
Katsushi Inata, Tetsuhiro Miyahara, Hiroaki Ueda, and Kenichi Takahashi
Springer LNAI 4304,pages:
AI 2006,the 19th ACS Australian Joint Conference on Artificial Intelligence
Hobart, Tasmania

1201-1207
2006/12




36 研究論文(国際会議プロシーディングス)
共著
State space segmentation for ac-quisition of agent behavior
上田祐彰,奈良木健志,那須曜,高橋健一,宮原哲浩
Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, Hong Kong.

440-446
2006/12




37 研究論文(国際会議プロシーディングス)
共著
A comparative study of parallel reinforcement learning methods with a PC cluster system
串田正幸,高橋健一,上田祐彰,宮原哲浩
Proceedings of the 2006 IEEE/WIC/ACM Interna-tional Conference on Intelligent Agent Technology, Hong Kong.

416-419
2006/12




38 研究論文(学術雑誌)
共著
Categorization of continuous numeric percepts by the modified fuzzy ART with Q-learning
H.Ueda, H.Kimoto, T.Naraki, K,Takahashi and T.Miyahara
International Journal of Pattern Recognition and Artificial Intelligence

20/ 2, 113-127
2006/03




39 研究論文(国際会議プロシーディングス)
共著
A study on face similarity using knowledge processing methods
Kenichi Takahashi, Hiroaki Ueda, Tetsuhiro Miyahara, Naoko Takeda
Proc. IEEE Region 10 International Conference 2005

3B-05.4.1-05.4.6
2005/11




40 研究論文(国際会議プロシーディングス)
共著
Macroaction synthesis for agent systems
Hiroaki Ueda, Takeshi Naraki, Kazunori Hosoda, Kenichi Takahashi and Tetsuhiro Miyahara
Proc. IEEE Region 10 International Conference 2005

2D-08.5.1-08.5.6
2005/11




41 研究論文(国際会議プロシーディングス)
共著
A student agent in a CAI system
Kenichi Takahashi, Hiroaki Ueda, and Tetsuhiro Miyahara
Proc. The 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology

686-689
2005/09




42 研究論文(国際会議プロシーディングス)
共著
Fuzzy Q-Learning with the Modified Fuzzy ART Neural Network
Hiroaki Ueda, Naoki Hanada, Hideaki Kimoto, Takeshi Naraki, Kenichi Takahashi and Tetsuhiro Miyahara
Proc. The 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology

308-315
2005/09




43 研究論文(学術雑誌)
共著
マルチエージェントシステムにおける利他的な行動規則の獲得
上田祐彰、谷澤俊彰、高橋健一、宮原哲浩
信学論

J88-D-1/ 9, 1278-1286
2005/09




44 研究論文(国際会議プロシーディングス)
共著
Categorization of Continuous Numeric Percepts by the Modified Fuzzy ART with Q-Learning
Hiroaki Ueda, Hideaki Kimoto, Takeshi Naraki, Kenichi Takahashi and Tetsuhiro Miyahara
Proc. The 2005 International Conference on Intelligent Computing

2111-2120
2005/08




45 研究論文(国際会議プロシーディングス)
共著
Agent learning in simulated soccer by fuzzy Q-learning
K.Takahashi, H.Ueda, T.Miyahara
Proc. IEEE Region 10 International Conference on Analog and Digital Techniques in Electrical
   Eingineering

338-341
2004/11




46 研究論文(国際会議プロシーディングス)
共著
Acquisition of reciprocal altruism in a multi-agent system
H.Ueda,T.Tanizawa,K.Takahashi, T.Miyahara
Proc. IEEE Region 10 International Conference on Analog and Digital Techniques in Electrical
   Eingineering

334-337
2004/11




47 研究論文(国際会議プロシーディングス)
共著
Categorization of continuous numeric percepts for reinforcement learning
H.Ueda,T.Yoshimori,K.Takahashi, T.Miyahara
Proc. IEEE Region 10 International Conference on Analog and Digital Techniques in Electrical
   Eingineering

290-293
2004/11




48 研究論文(国際会議プロシーディングス)
共著
Discovery of maximally frequent tag tree patterns with contractible variables from semistructured documents
T.Miyahara, Y.Suzuki, T.Shoudai, T.Uchida, K.Takahashi, H.Ueda
Proc. Pacific-Asia conference on Advances in
   Knowledge Discovery and Data Mining

133-144
2004/05




49 研究論文(学術雑誌)
共著
顔画像の類似度判断における決定木を用いた重要属性の考察
高橋健一,小田恭裕,上田祐彰,宮原哲浩
画像電子学会誌

33/ 3, 358-364
2004/05




50 研究論文(その他学術会議資料等)
共著
Comparisons of genetic algorithms for timetabling problems
Hiroaki Ueda, Daisuke Ouchi, Kenichi Takahashi and Tetsuhiro Miyahara
Systems and Computers in Japan

35/ 7, 1-12
2004/01




51 研究論文(国際会議プロシーディングス)
共著
Acquisition of a state transition graph using genetic network programming techniques
H.Ueda、N.Iwane、T.Miyahara、K.Takahashi
Proc. IEEE Region 10 International Conference on Convergent Technologies for the Asia-Pacific

163-167
2003/10




52 研究論文(学術雑誌)
共著
遺伝的アルゴリズムの時間割作成問題への適用に関する一考察
上田祐彰,大内大輔,高橋健一,宮原哲浩
信学論

J86-D-I/ 9, 691-701
2003/09




53 研究論文(国際会議プロシーディングス)
共著
Dynamic formation change in simulated soccer using formations obtained by genetic algorithms
K.Takahashi, H.Ueda, T.Miyahara
Proc. The 7th World Multiconference on Systemics, Cybernetics, and Infomatics

232-237
2003/07




54 研究論文(国際会議プロシーディングス)
共著
Extraction of tag tree patterns with contractible variables from irregular semistructured data
T.Miyahara、Y.Suzuki、T.Shoudai、S.Hirokawa、T.Uchida、K.Takahashi、H.Ueda
Proc. 7th Pacific-Asia conference on Advances in
Knowledge Discovery and Data Mining

430-436
2003/04




55 研究論文(国際会議プロシーディングス)
共著
Multilevel logic optimization using genetic programming technique
H.Ueda、K.Inata、T.Miyahara、K.Takahashi
Proc. IEEE region 10 International Comference on Computer Communications, Control and Power Engineering

pp. 620-624
2002/10




56 研究論文(国際会議プロシーディングス)
共著
Discovery of frequent tag tree patterns in semistructured web documents
T.Miyahara、Y.Suzuki、T.Shoudai、T.Uchida、K.Takahashi、H.Ueda
Proc. 6th Pacific-Asia conference on Advances in Knowledge Discovery and Data
Mining

341-355
2002/05




57 研究論文(国際会議プロシーディングス)
共著
A learning simulator for testing CAI systems
K.Takahashi、H.Ueda、T.Miyahara
Proc. IEEE Region 10 international Confernce of Electrical and Electronics Technology

pp. 415-419
2001/08




58 研究論文(学術雑誌)
共著
A co-evolving timeslot/room assigument genetic algorithm technique for university timetabling Springer-verlag
H.Ueda,D.Ouchi,K.Takahashi,T.Miyahara
Lecture notes in computer science

vol. 2079, pp. 48-63
2001/05




59 研究論文(国際会議プロシーディングス)
共著
Discovery of frequent tree structured patterns in
semistructured web documents
T.Miyahara、T.Shoudai、T.Uchida、K.Takahashi、H.Ueda
Proc. 5th Pacific-Asia conference on Advances in Knowledge Discovery and Data
Mining

47-52
2001/04




60 研究論文(学術雑誌)
共著
Discovering knowledge from graph structured data by using refutably indactive inference of formal graph system
T.Miyahara,T.Uchida,T.Kuboyama,K.Takahashi,H.Ueda
IEICE trans. on Information and Systems

E84-D/ 1, pp. 48-56
2001/01




61 研究論文(国際会議プロシーディングス)
共著
A co-evolving timeslot/room assignment genetic algorithm technique for university timetabling
K.Takahashi、D.Ouchi、H.Ueda、T.Miyahara
Proc. of the 3rd International Conference on the Practice and Theory of Automated Timetabling 2000

96-102
2000/08




62 研究論文(国際会議プロシーディングス)
共著
Learning formations in simulated soccer by a genetic algorithm
K.Takahashi、R.Sakai、H.Ueda、T.Miyahara
Proc. The IASTED international conference on Artificial Intelligence and Soft Computing

68-64
2000/07




63 研究論文(国際会議プロシーディングス)
共著
Polynomial time matching algorithms for tree-like structured patterns in knowledge discovery
T.Miyahara, T.Shoudai, T.Uchida, T.Kuboyama, K.Takahashi, H.Ueda
Proc. 4th Pacific-Asia conference on Methodologies for
Knowledge Discovery and Data Mining

5-16
2000/04