Table Of ContentLecture Notes in Artificial Intelligence 5819
EditedbyR.Goebel,J.Siekmann,andW.Wahlster
Subseries of Lecture Notes in Computer Science
Ning Zhong Kuncheng Li Shengfu Lu
Lin Chen (Eds.)
Brain Informatics
International Conference, BI 2009
Beijing, China, October 22-24, 2009
Proceedings
1 3
SeriesEditors
RandyGoebel,UniversityofAlberta,Edmonton,Canada
JörgSiekmann,UniversityofSaarland,Saarbrücken,Germany
WolfgangWahlster,DFKIandUniversityofSaarland,Saarbrücken,Germany
VolumeEditors
NingZhong
DepartmentofLifeScienceandInformatics,MaebashiInstituteofTechnology,Japan
E-mail:[email protected]
KunchengLi
Radiology,XuanwuHospitalofCapitalMedicalUniversity,Beijing,China
E-mail:[email protected]
ShengfuLu
TheInternationalWICInstitute,BeijingUniversityofTechnology,China
E-mail:[email protected]
LinChen
InstituteofBiophysics,ChineseAcademyofSciences,Beijing,China
E-mail:[email protected]
LibraryofCongressControlNumber:2009936006
CRSubjectClassification(1998):I.2,H.5.1-3,I.2.8,K.3,J.3,I.4-5,J.1
LNCSSublibrary:SL7–ArtificialIntelligence
ISSN 0302-9743
ISBN-10 3-642-04953-2SpringerBerlinHeidelbergNewYork
ISBN-13 978-3-642-04953-8SpringerBerlinHeidelbergNewYork
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Preface
This volume contains the papers selected for presentation at The 2009 Interna-
tional Conference on Brain Informatics (BI 2009) held at Beijing University of
Technology,China, on October 22–24,2009.It was organizedby the Web Intel-
ligence Consortium (WIC) and IEEE Computational Intelligence Society Task
ForceonBrainInformatics(IEEETF-BI).The conferencewasheldjointlywith
The 2009 International Conference on Active Media Technology (AMT 2009).
Braininformatics(BI)hasemergedasaninterdisciplinaryresearchfieldthat
focusesonstudying the mechanismsunderlyingthe humaninformationprocess-
ing system (HIPS). It investigates the essential functions of the brain, ranging
from perception to thinking, and encompassing such areas as multi-perception,
attention,memory,language,computation,heuristicsearch,reasoning,planning,
decision-making, problem-solving, learning, discovery, and creativity. The goal
of BI is to develop and demonstrate a systematic approach to achieving an
integrated understanding of both macroscopic and microscopic level working
principles of the brain, by means of experimental, computational, and cognitive
neurosciencestudies,aswellasutilizing advancedWebIntelligence(WI)centric
information technologies. BI represents a potentially revolutionary shift in the
way that research is undertaken. It attempts to capture new forms of col-
laborative and interdisciplinary work. Following this vision, new kinds of BI
methods and global research communities will emerge, through infrastructure
on the wisdom Web and knowledge grids that enables high speed and dis-
tributed,large-scaleanalysisandcomputations,andradicallynew waysofshar-
ing data/knowledge.
BI2009wasthe firstconferencespecificallydedicatedtointerdisciplinaryre-
searchinbraininformatics.Itprovidedaninternationalforumtobringtogether
researchers and practitioners from diverse fields, such as computer science, in-
formation technology, artificial intelligence, Web intelligence, cognitive science,
neuroscience, medical science, life science, economics, data mining, data science
and knowledge science, intelligent agent technology, human computer interac-
tion,complexsystems,andsystemsscience,topresentthestate-of-the-artinthe
development of brain informatics, to explore the main research problems in BI
thatlieintheinterplaybetweenthestudiesofthehumanbrainandtheresearch
of informatics. On the one hand, one models and characterizes the functions of
the human brain based on the notions of information processing systems. WI
centricinformationtechnologiesareappliedtosupportbrainsciencestudies.For
instance, the wisdom Web, knowledge grids, and cloud computing enable high-
speed, large-scale analysis, simulation, and computation as well as new ways of
sharing researchdata and scientific discoveries.Onthe other hand, informatics-
enabledbrainstudies,e.g.,basedonfMRI,EEG,andMEG,significantlybroaden
thespectrumoftheoriesandmodelsofbrainsciencesandoffernewinsightsinto
VI Preface
thedevelopmentofhuman-levelintelligencetowardsbrain-inspiredwisdomWeb
computing.
WewishtoexpressourgratitudetoallmembersoftheConferenceCommittee
fortheirinstrumentalandunfailingsupport.BI2009hadaveryexcitingprogram
withanumberoffeatures,rangingfromkeynotetalks,specialsessions,technical
sessions, posters, workshops, and social programs. All of this work would not
have been possible without the generous dedication of the ProgramCommittee
members and the external reviewers in reviewing the papers submitted to BI
2009, of our keynote speakers, John Anderson of Carnegie Mellon University,
Jeffrey M. Bradshaw of Florida Institute for Human and Machine Cognition,
Frank van Harmelenof Vrije Universiteit Amsterdam, Lynne Reder of Carnegie
Mellon University, Zhongzhi Shi of the Chinese Academy of Sciences, and Zhi-
Hua Zhou of Nanjing University, and invited speakers in the special session on
InformationProcessingMeetsBrainSciences,ZhaopingLiofUniversityCollege
London,Setsuo Ohsugaofthe UniversityofTokyo,BinHu ofBirminghamCity
University and Lanzhou Unviersity, Tianzi Jiang of the Chinese Academy of
Sciences, Yulin Qin of Beijing University of Technology and Carnegie Mellon
University, in preparing and presenting their very stimulating talks. We thank
them for their strong support.
BI2009couldnothavetakenplacewithoutthegreatteameffortoftheLocal
OrganizingCommittee andthe supportofthe InternationalWIC Institute,Bei-
jing University of Technology.Our special thanks go to Boyuan Fan, Ze Zhang,
ZhenyangLu,PuWang,andJianwuYangfortheirenormouseffortsinplanning
and arranging the logistics of the conference from registration/payment han-
dling, venue preparation, accommodation booking, to banquet/social program
organization.WewouldliketothankShuaiHuang,JiajinHuang,JianYang,and
JuzhenDongofthe conferencesupportteamatthe InternationalWIC Institute
(WICI), the KnowledgeInformation Systems Laboratory,MaebashiInstitute of
Technology,andWebIntelligenceLaboratory,Inc.fortheirdedicationandhard
work.WeareverygratefultotheBI2009corporatesponsors:BeijingUniversity
ofTechnology(BJUT),BeijingMunicipalLabofBrainInformatics,ChineseSo-
cietyofRadiology,NationalNaturalScienceFoundationofChina(NSFC),State
AdministrationofForeignExpertsAffairs,ShanghaiPsytechElectronicTechnol-
ogyCo.Ltd,ShenzhenHanixUnited,Inc.(BeijingBranch),BeijingJinShangQi
Net System Integration Co. Ltd, and Springer Lecture Notes in Computer Sci-
ence(LNCS/LNAI)fortheirgeneroussupport.Lastbutnotthe least,wethank
Alfred Hofmann of Springer for his help in coordinating the publication of this
special volume in an emerging and interdisciplinary research field.
August 2009 Ning Zhong
Kuncheng Li
Shengfu Lu
Lin Chen
Conference Organization
Conference General Chairs
Lin Chen Chinese Academy of Sciences, China
Setsuo Ohsuga University of Tokyo, Japan
Program Chairs
Ning Zhong International WIC Institute,
Beijing University of Technology, China
Maebashi Institute of Technology, Japan
Kuncheng Li Xuanwu Hospital,
Capital Medical University, China
Workshop Chairs
Yiyu Yao International WIC Institute,
Beijing University of Technology, China
University of Regina, Canada
Runhe Huang Hosei University, Japan
Organizing Chairs
Shengfu Lu International WIC Institute,
Beijing University of Technology, China
Xunming Ji Xuanwu Hospital,
Capital Medical University, China
Publicity Chairs
Jian Yang International WIC Institute,
Beijing University of Technology, China
Jiajin Huang International WIC Institute,
Beijing University of Technology, China
WIC Co-chairs/Directors
Ning Zhong Maebashi Institute of Technology, Japan
Jiming Liu Hong Kong Baptist University, HK
VIII Organization
IEEE TF-BI Chair
Ning Zhong Maebashi Institute of Technology, Japan
WIC Advisory Board
Edward A. Feigenbaum Stanford University, USA
Setsuo Ohsuga University of Tokyo, Japan
Benjamin Wah University of Illinois, Urbana-Champaign,
USA
Philip Yu University of Illinois, Chicago, USA
L.A. Zadeh University of California, Berkeley, USA
WIC Technical Committee
Jeffrey Bradshaw UWF/Institute for Human and Machine
Cognition, USA
Nick Cercone York University, Canada
Dieter Fensel University of Innsbruck, Austria
Georg Gottlob Oxford University, UK
Lakhmi Jain University of South Australia, Australia
Jianchang Mao Yahoo! Inc., USA
Pierre
Morizet-Mahoudeaux Compi`egne University of Technology, France
Hiroshi Motoda Osaka University, Japan
ToyoakiNishida Kyoto University, Japan
Andrzej Skowron Warsaw University, Poland
Jinglong Wu Okayama University, Japan
Xindong Wu University of Vermont, USA
Yiyu Yao University of Regina, Canada
Program Committee
Yiuming Cheung Hong Kong Baptist University, HK
Xiaocong Fan The Pennsylvania State University, USA
Mohand-Said Hacid Universit´e Claude Bernard Lyon 1, France
Kazuyuki Imamura Maebashi Institute of Technology, Japan
Akrivi Katifori University of Athens, Greece
Peipeng Liang Beijing University of Technology, China
PawanLingras Saint Mary’s University, Canada
Duoqian Miao Tongji University, China
Mariofanna Milanova University of Arkansas at Little Rock, USA
Sankar Kumar Pal Indian Statistical Institute, India
Hideyuki Sawada KagawaUniversity, Japan
Organization IX
Lael Schooler Max Planck Institute for Human
Development, Germany
Tomoaki Shirao Gunma University, Japan
Andrzej Skowron Warsaw University, Poland
Dominik Slezak Infobright Inc., Canada
Diego Sona Neuroinformatics Laboratory,Italy
Piotr S. Szczepaniak Technical University of Lodz, Poland
Shusaku Tsumoto Shimane University, Japan
Leendert Van Maanen University of Groningen, The Netherlands
Frank van der Velde Leiden University, The Netherlands
Jian Yang Beijing University of Technology, China
Dezhong Yao University of Electronic Science and
Technology, China
Chunshui Yu XuanwuHospital,CapitalMedicalUniversity,
China
Yanqing Zhang Georgia State University, USA
Haiyan Zhou Beijing University of Technology, China
Yangyong Zhu Fudan University, China
Table of Contents
Keynote Talks
Using Neural Imaging to Inform the Instruction of Mathematics ....... 1
John Anderson
Distributed Human-Machine Systems: Progressand Prospects ......... 2
Jeffrey M. Bradshaw
Large Scale Reasoning on the Semantic Web: What to Do When
Success Is Becoming a Problem .................................... 3
Frank van Harmelen
How Midazolam Can Help Us Understand Human Memory: 3
Illustrations and a Proposal for a New Methodology.................. 4
Lynne Reder
Research on Brain-Like Computer.................................. 5
Zhongzhi Shi
A Framework for Machine Learning with Ambiguous Objects.......... 6
Zhi-Hua Zhou
Special Session on Information Processing Meets
Brain Sciences
Data Compression and Data Selection in Human Vision............... 7
Zhaoping Li
Do Brain Networks Correlate with Intelligence?...................... 8
Tianzi Jiang
How Were Intelligence and Language Created in Human Brain......... 9
Setsuo Ohsuga
Affective Learning with an EEG Approach .......................... 11
Bin Hu
Some Web Intelligence Oriented Brain Informatics Studies ............ 12
Yulin Qin
Thinking and Perception-centric Investigations of
Human Information Processing Systems
Modelling the Reciprocal Interaction between Believing and Feeling
from a Neurological Perspective.................................... 13
Zulfiqar A. Memon and Jan Treur
XII Table of Contents
Information Hypothesis: On Human Information Capability Study ..... 25
Jiˇr´ı Kraj´ıˇcek
Correlated Size Variations Measured in Human Visual Cortex
V1/V2/V3 with Functional MRI................................... 36
Tianyi Yan, Fengzhe Jin, and Jinglong Wu
Effects of Attention on Dynamic Emotional Expressions Processing..... 45
Liang Zhang, Brigitte Roeder, and Kan Zhang
Simulating Human Heuristic Problem Solving: A Study by Combining
ACT-R and fMRI Brain Image .................................... 53
Rifeng Wang, Jie Xiang, Haiyan Zhou, Yulin Qin, and Ning Zhong
EEG/ERP Meets ACT-R: A Case Study for Investigating Human
Computation Mechanism ......................................... 63
Shinichi Motomura, Yuya Ojima, and Ning Zhong
Evaluation of Probabilities and Brain Activity - An EEG-Study ....... 74
Ralf Morgenstern, Marcus Heldmann, Thomas Mu¨nte, and Bodo Vogt
Human Factors Affecting Decision in Virtual Operator Reasoning ...... 84
Lydie Edward, Domitile Lourdeaux, and Jean-Paul Barth`es
The Effect of Information Forms and Floating Advertisements for
Visual Search on Web Pages: An Eye-TrackingStudy................. 96
Mi Li, Jingjing Yin, Shengfu Lu, and Ning Zhong
Figural Effects in Syllogistic Reasoning with Evaluation Paradigm:An
Eye-MovementStudy............................................. 106
Xiuqin Jia, Shengfu Lu, Ning Zhong, and Yiyu Yao
Structured Prior Knowledge and Granular Structures................. 115
Qinrong Feng and Duoqian Miao
Multisensory Interaction of Audiovisual Stimuli on the Central and
PeripheralSpatial Locations: A Behavioral Study .................... 127
Qi Li, Jingjing Yang, Noriyoshi Kakura, and Jinglong Wu
A Functional Model of Limbic System of Brain ...................... 135
Takashi Kuremoto, Tomonori Ohta, Kunikazu Kobayashi, and
Masanao Obayashi
Information Technologies for the Management and
Use of Brain Data
Data Explosion, Data Nature and Dataology ........................ 147
Yangyong Zhu, Ning Zhong, and Yun Xiong
