International Organized Sessions

The 27th Annual Conference of Japanese Society for Artificial Intelligence (JSAI2013)
Toyama International Conference Center, Toyama, Japan, June 04-07, 2013

“Annual Conference of JSAI” is the main conference of the Japanese Society for Artificial Intelligence (JSAI), which is held annually. In which major AI researchers (mainly from Japan) present their researches (mainly in Japanese).

The 27th Annual Conference of JSAI (JSAI2013) will be held from 4th June 2013 to 7th June 2013 in Toyama International Conference Center, Toyama Prefecture, Japan. (City information:

Following the success at JSAI2012, in this year’s JSAI we will have “international organized sessions.” An organized session is a type of an invited session for which researchers organize a session with very novel or advanced theme and collect excellent papers. “International” means that presenters will be coming from all over the world, presentations will be performed in English, and papers will be written in English. Of course organizers will be able to call and invite speakers in their session.

Access to Toyama

You can get information about access to Toyama from here:


Please note that JSAI does not reserve any rooms at the above-mentioned hotels for the participants. Therefore, please make any necessary hotel reservations on your own.

Hotels get booked up very quickly as the conference date approaches. Therefore, it is advisable to make your reservations directly with the hotels at your earliest.



How to register

Please register via Web.

Registration Fee

Registration fee should be paid on site (cash in Japanese Yen or major credit cards: VISA and Master).

Category Fee for registration Fee per talk
JSAI Member 10,000 JPY 3,000 JPY
JSAI Student Member 5,000 JPY 3,000 JPY
Non-member 20,000 JPY 5,000 JPY
Student 9,000 JPY 5,000 JPY

If you are neither a JSAI member nor a student, and have 1 talk, then the total fee is 20,000 + 5,000 * 1 = 25,000 JPY.

International Organized Sessions

IOS-1: Cognitive Training and Assistive Technology for Aging


  • Mihoko Otake (Associate Professor, Chiba University.
  • Noriaki Kuwahara (Associate Professor, Kyoto Institute of Technology.


This session deals with cognitive training and assistive technology for aging, which is necessary in the modern and future society. Such technology is based on cognitive model of human and its aging. Like artificial heart replace human heart, artificial intelligence may partially replace or support human intelligence. The proposed session has been started as a near future challenge session since 2007, which survived for 5 years and graduated in 2012. From 2013, we would like to propose international organized session in order to grow the network from nationwide to worldwide.


  • 18:00-20:30, June 5th, 2013
    • 2C5-IOS-1a-1: The Functional Quality of Life (fQOL)-Model and its Application to the Coimagination Method. Mike Martin
    • 2C5-IOS-1a-2: Fundamental Study to New Evaluation System Based on Physical and Psychological Load in Care Work. Hiroaki Inoue
    • 2C5-IOS-1a-3: The Relationship between Human Brain Activity and Movement on Car Driving for New Assistive System. Shunji Shimizu
    • 2C5-IOS-1a-4: Relationship between affordance and dementia care Akinori Abe
    • 2C5-IOS-1a-5: Analysis of the relationship between the feelings towards fellow residents and the number of photos. Eiko Nagata
    • 2C5-IOS-1a-6: Characterizing the Effect of Consumer Familiarity with Health Topics on Health Information Seeking Behavior. Ira Puspitasari
  • 9:00-10:50, June 6th, 2013
    • 3C1-IOS-1b-1: HomeMate: Cognitive Robot for Elderly-Care. Sukhan Lee
    • 3C1-IOS-1b-2: Development of an Agent System for Conversing with Individuals with Dementi. , Kiyoshi Yasuda
    • 3C1-IOS-1b-3: Toward Personalized Cognitive Training for Elderly with Mild Cognitive Impairment Using Cerebral Blood Flow Activation. Shohei Kato
    • 3C1-IOS-1b-4: Improvement the QOL of elderly people utilizing ICT. Airi Tsuji
    • 3C1-IOS-1b-5: Analysis of Overlap during Group Conversation of Active Older Adults. Mihoko Otake

IOS-2: Compter games and computational intelligence


  • Shun-Chin Hsu (Department of Information Management, Chang Jung Christian University, Chair of Taiwan Computer Game Association, Vice Chair of International Computer Game Association.
  • I-Chen Wu (Department of Computer Science, National Chiao Tung University.
  • Shi-Jim Yen (Department of Computer Science and Information Engineering, National Dong Hwa University.


It will provide a stage of technical communication for both academic scientists and game programmers in the area of computer games and computational intelligence, especially for grid/cloud computing on computer games. High quality research papers are solicited on all aspects of research related to computers and games. Relevant topics include, but are not limited to:

  • Current state of game-playing programs for classic game, modern board game, card games and puzzles.
  • Grid/cloud computing on computer games
  • Virtual and video games
  • New theoretical developments in game-related research
  • General scientific contributions produced by the study of games
  • Social aspects of computer games
  • Cognitive research of how humans play games
  • Networked games


  • 13:20-16:00, June 6th, 2013
    • 3C3-IOS-2-1: Intelligent Level Generation for Super Mario. Ya-Hung Chen, Ching-Ying Cheng, Tsung-Che Chiang
    • 3C3-IOS-2-2: Effective Integration Frameworks for Combining Computer Gaming programs with the Grid Computing System. Chih-Hung Chen, Shun-Shii Lin
    • 3C3-IOS-2-3: A Framework of Distributed Incentive Learning in Monte Carlo Tree Search. Kuo-Yuan Kao
    • 3C3-IOS-2-4: An analysis of affective state transitions in survival horror game with the aid of player self-reports and physiological signals. Vanus Vachiratamporn, Roberto Legaspi
    • 3C3-IOS-2-5: The Development of the Resource Broker of Desktop Grid Federation for Tree Search Applications. Lung-Ping Chen, I-Chen Wu, Chih-Wei Hsieh, Der-Johng Sun, Hung-Hsuan Lin
    • 3C3-IOS-2-6: Suffix Tree Index Structure on Go Game Records. Shi-Jim Yen, Jr-Chang Chen, Tai-Ning Yang, Chen-Hsin Lee, Shun-Chin Hsu
    • 3C3-IOS-2-7: An Efficient Index Structure for Go. Yu-Jie Ho, Shun-Chin Hsu, Shi-Jim Yen
    • 3C3-IOS-2-8: Feature Learning for Computer Chinese Chess. Wen-Jie Tseng, Jr-Chang Chen, I-Chen Wu, Ching-Hua Kuo, Po-Han Lin

IOS-3: Intelligent Data Analysis and Applications


  • Tzung-Pei Hong (Department of Computer Science and Information Engineering, National University of Kaohsiung, Taiwan
  • Chuan-Kang Ting (Department of Computer Science and Information Engineering, National Chung Cheng University, Taiwan
  • Chao-Lin Liu (Department of Computer Science, National Chengchi University, Taiwan


Intelligent Data Analysis is an important and promising topic that applies the information and statistical technology for the improvement of human decision making. This special session is to reflect the current research on the theory and applications of a variety of intelligent data analysis approaches, especially for the creation and advancement of data structures, algorithms, computational intelligence, and statistical techniques to solve formal and practical problems arising from the management and analysis of daily life. Relevant topics include, but are not limited to:

  • Machine Learning
  • Data Mining and Discovery
  • Feature Selection
  • Rough Set
  • Fuzzy Data Analysis
  • Neural Network in Data Analysis
  • Evolutionary Computation in Data Analysis
  • Statistical Data Analysis
  • Granular Computing for Data Analysis
  • Applications of Data Analysis
  • Other New Approaches to Data Analysis and Applications


  • 14:10-16:10, June 4th, 2013
    • 1A3-IOS-3a-1: Unsupervised Sense Clustering of Related Chinese Words. Chia-Ling Lee, Yen-Ling Kuo, Chao-Lin Liu, and Jane Yung-Jen Hsu
    • 1A3-IOS-3a-2: Graphical Interface that Supports Users’ Trial-and-Error Process of Text Mining. Naoya Otsuka and Mitsunori Matsushita
    • 1A3-IOS-3a-3: A Proposed Supervised Clustering Appproach for the Identification of Concerned HIV-Related Messages in Web Forums. Chaochang Chiu, Nan-Hsing Chiu, Re-Jiau Sung, and Chih-Hao Hsiao
    • 1A3-IOS-3a-4: Proposal of User Modeling Method Employing Reputation Analysis on User Reviews Based on Personal Values. Shunichi Hattori and Yasufumi Takama
    • 1A3-IOS-3a-5: How Much Calories People Burn? Physical Activity Recognition Using Acceleration Data with Mobile Phones. Sio Fong Hoi, Yi-ting Chiang, and Jane Yung-Jen Hsu
    • 1A3-IOS-3a-6: Using Social Networks in Political Elections. Ahmed Sameh
  • 9:00-10:40, June 5th, 2013
    • 2A1-IOS-3b-1: Activity Recognition on Multi-Sensor Data Streams Using Distinguishing Sequential Patterns. Rong-Sing Huang and Been-Chain Chien
    • 2A1-IOS-3b-2: Students Capability Growth Trajectory Mining. Thongchai Kaewkiriya, Ryosuke Saga, Takeo Ichinotsubo, Shunsuke Aoki, Woyuan Niu, and Hiroshi Tsuji
    • 2A1-IOS-3b-3: A Decremental Utility Mining Algorithm Based on the Pre-large Concept. Chun-Wei Lin, Tzung-Pei Hong, Guo-Cheng Lan, Jia-Wei Wong, and Wen-Yang Lin
    • 2A1-IOS-3b-4: A Community-based Service Recommendation System. Cheng Wei Wu, Shun-Chieh Lin, Huan-Wen Tsai, and Vincent S. Tseng
    • 2A1-IOS-3b-5: Comparative Study & Performance Evaluation of Various Classifiers Using a Data Set. Amresh Kumar
  • 15:00-17:40, June 5th, 2013
    • 2C4-IOS-3c-1: An Evolutionary Approach for the Split Pickup and Delivery Problem. Wan-Chin Yang, Xin-Lan Liao, and Chuan-Kang Ting
    • 2C4-IOS-3c-2: A Multi-objective Genetic Model for Stock Selection. Shin-Shou Chen, Chien-Feng Huang, and Tzung-Pei Hong
    • 2C4-IOS-3c-3: Quantity and Price Indicator for Technical Analysis in the Stock Market. Shih-Hsin Chen, Yi-Hsin Wang, and Chin-Bin Wang
    • 2C4-IOS-3c-4: A Comparison between Genetic and Memetic Algorithm for Automated Music Composition System. Mondheera Pituxcoosuvarn, Roberto Legaspi, Rafael Cabredo, Ken-ichi Fukui, Koichi Moriyama, Noriko Otani, Satoshi Kurihara, and Masayuki Numao
    • 2C4-IOS-3c-5: A Collective Intelligence Approach to Detecting IDN Phishing, Shian-Shyong Tseng, Ai-Chin Lu, and Ching-Heng Ku
    • 2C4-IOS-3c-6: An Estimation Method of Item Difficulty Index Combined with the Particle Swarm Optimization Algorithm for the Computerized Adaptive Testing. Shu-Chen Cheng, Guan-Yu Chen, and I-Chun Pan
    • 2C4-IOS-3c-7: The Hybrid of PSO and SOM for Blog Success Prediction. Chi-I Hsu, Shelly P.J. Wu, and Chaochang Chiu
    • 2C4-IOS-3c-8: An Efficient Framework for Winning Prediction in Real-Time Strategy Game Competitions. Chih-Jung Hsu, Shao-Shin Hung, Jung Tzung Chen, Derchian Tsaih and Jyh-Jong Tsay

IOS-4: Modern Approaches for Intelligence Design – From Mining to Inference


  • Akiko Aizawa (
  • Ryutaro Ichise (
  • Tsuyoshi Murata (


To discuss about interdisciplinary topics and ideas on intelligence design including, but not restricted to, the following topics:

  • Community Mining
  • Analysis and Theories of Communication
  • Social and Network Data
  • Semantic Enrichment
  • Technologies for Actionable Intelligence


  • 16:20-18:00, June 6th, 2013
    • 3C4-IOS-4a-1: Using Sensitivity Analysis for Designing Resilient Systems. Chan Hei
    • 3C4-IOS-4a-2: Combining COPs and Temporal Qualitative Constraints for the Design of Resilient Dynamic Systems. Schwind Nicolas
    • 3C4-IOS-4a-3: Multi-class Link Prediction in Social Networks. Lankeshwara Munasinghe
    • 3C4-IOS-4a-4: Internet Traffic Classification using multi-classifier systems. Amjad Twalo
    • 3C4-IOS-4a-5: Community Detection on Heterogeneous Networks. Weichu Liu
  • 9:00-11:20, June 7th, 2013
    • 4C1-IOS-4b-1: Accessing Linked Data with A Simple Integrated Ontology. Lihua Zhao
    • 4C1-IOS-4b-2: Inclusion of Temporal Semantics over Keywrod-based Linked Data Retrieval. Md-Mizanur Rahoman
    • 4C1-IOS-4b-3: “Reuse Effect” inferred from mining dependency graphs between Open Datasets and Applications. Sayoko Shimoyama
    • 4C1-IOS-4b-4: Data mining considering curation. Akinori Abe
    • 4C1-IOS-4b-5: Analysis of subjective conceptualizations towards collective concept modelling. Fumiko Kano Gluckstad
    • 4C1-IOS-4b-6: A machine learning-based approach to missing preposition detection. Shunsuke Ohashi
    • 4C1-IOS-4b-7: Technical Term Identification for Semantic Analysis of Scientific Papers. Akiko Aizawa

Important Dates

  • Beginning of abstract submission: Jan 21, 2013
  • Deadline of abstract submission: Feb 14, 2013 (Extended!!!)
  • Beginning of paper submission: Apr 5, 2013
  • Deadline of paper submission: Apr 11, 2012 Apr 25, 2012 (Extended!!!)
  • JSAI 2013: Jun 04-07, 2013

Abstracts must be submitted before submitting paper.

Abstract and Paper Submission

To submit abstract, please send an email to Please use the following form, if the mail form does not work.

Subject: JSAI2013 IOS Abstract Submission


Session: IOS-


Abstract (up to 200 words): 

Author 1: First-name Last-name (Affiliation)
Author 2:
Author 3:
Author 4:
Author 5:
(If more, please add lines.)


Contact person's name:
Contact person's email: 

Comments (optional):


IOS papers must be not exceeding 10 pages in JSAI 2013 format.

Moreover, note that at least one of the authors of each paper must register for JSAI for that paper to be included in the proceedings.