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BI-AMT 2011 Keynote Speakers
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BI Keynote Speakers
Professor Lin Chen, Chinese Academy of Sciences, China
"The Global-first Topological Definition of Perceptual Objects, and Its Neural Correlation in Anterior Temporal Lobe"
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Professor D. Frank Hsu, Fordham University, USA
"Combinatorial Fusion Analysis in Brain Informatics: Gender variation in facial attractiveness judgment"
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AMT Keynote Speakers
Xuesen Qian Memoriam Invited Speaker
Herbert Simon Memoriam Invited Speaker
Professor Yulin Qin,
International WIC Institute/BJUT China, and
Department of Psychology/CMU, USA
"Study of Problem Solving Following Herbert Simon" (
Download )
The Global-first Topological Definition of Perceptual Objects, and Its Neural Correlation in Anterior Temporal Lobe
Abstract:
What is a perceptual object? This question seems to be straightforward
yet its answer has become one of the most central and also
controversial issues in many areas of cognitive sciences.
The "global-first" topological approach ties a formal definition of
perceptual objects to invariance over topological transformation, and
the core intuitive notion of a perceptual object -
the holistic identity preserved over shape-changing transformations -
may be precisely characterized as topological invariants, such as
connectivity and holes.
The topological definition of objects has been verified by a fairly
large set of behavioral experiments, including, for example, MOT and
attention blink, which consistently demonstrated that while object
identity can survive various non-topological changes, the topological
change disturbs its object continuity, being perceived as an emergence
of a new object. Companion fMRI experiments revealed the involvement
of anterior temporal lobe, a late destination of the visual form
pathway, in the topological perception and the formation of perceptual
objects defined by topology. This contrast of global-first in behavior
and late destination in neuroanatomy raises far-reaching issues
regarding the formation of object representations in particular, and
the fundamental question of "where to begin" in general.
Profile:
Lin Chen is director and professor of State Key Laboratory of Brain and
Cognitive Science, Institute of Biophysics, Chinese Academy of
Sciences, and director of Beijing MRI Center for Brain Research.
Professor Chen is the member of Chinese Academy of Sciences since 2003,
and the member of the Academy of Sciences
for the Developing World (TWAS) since 2009.
His research interests include
experimental psychology, cognitive science, visual cognition, and
human brain mapping.
In 1980-83, Professor Chen was a visiting scholar and
sloan foundation postdoctoral fellow at University of California,
San Diego, and at Irvine;
He was professor of University of Science and Technology
of China In 1985-2000, and professor and director in
Beijing Laboratory of Cognitive Science,
Chinese Academy of Sciences (Graduate School, Chinese Academy
of Sciences) in 1986-2008.
He was a guest professor at
University of Regensburg and University of Munich in 2002-2004, and
an adjunct investigator of National Institute of Mental Health, US.
Professor Chen was awarded the Outstanding Scientist Prize
by Qiushi Science & Technology Foundation in 2004.
Professor Chen has published many international journal articles and
conference papers, including:
(1) Zhou, K., Huan, L., Zhou T.G., Zhuo Y., and Chen, L. (2010).
Topological change disturbs object continuity in attentive
tracking. PNAS, 107(50), 21920-21924.
(2) Wang, B., Zhou, T.G., Zhuo, Y., and Chen, L. (2007).
Global Topological Dominance in the Left Hemisphere. PNAS, 104, 21014-21019.
(3) Chen, L. (2005). The topological approach to perceptual organization
(invited lead paper). Visual Cognition, 12, 553-637.
(4) Zhuo, Y., Zhou, T.G., Rao, H.Y., Wang, J.J., Meng, M., Chen, M., Zhou,
C., Chen, L. (2003). Contributions of the visual ventral pathway to
long-range apparent motion. Science, 299, 417-420.
(5) Chen, L., Zhang, S.W., Srinivasan M. (2003).
Global perception in small brains: Topological pattern recognition
in honeybees. PNAS, 100, 6884-6889.
(6) Chen, L. (1982). Topological structure in visual perception. Science,
218, 699-700.
Combinatorial Fusion Analysis in Brain Informatics: Gender Variation in Facial Attractiveness Judgment
Abstract:
Information processing in the brain or other decision making systems,
such as in multimedia, involves fusion of information from multiple
sensors , sources, and systems at the data, feature or decision
level. Combinatorial Fusion Analysis(CFA) , a recently developed
information fusion paradigm, uses combinatorial method to model the
decision space and the rank-score characteristic(RSC) function to
measure cognitive diversity.
In this talk, we will first introduce CFA and its practice in a
variety of application domains such as computer vision & target
tracking, information retrieval & internet search, and virtual
screening & drug discovery. We then apply CFA to investigate gender
variation in facial attractiveness judgement on three tasks: liking,
beauty and proxy using RSC function. It is demonstrated that the RSC
function is useful in the differentiation of gender variation and task
judgement, and hence can be used to compliment the notion of
correlation which is widely used in statistical decision making. In
addition, it is shown that CFA is a viable approach to deal with
various issues and problems in brain informatics.
Profile:
D. Frank Hsu is the Clavius Distinguished Professor of Science and
professor of computer and information science at Fordham University in
New York city. He has been visiting professor /scholar at University
of Parid-Sud(and CNRS),Taiwan University, Tsing Hua
University(Hsin-chu, Taiwan), Keio University, JAIST, Boston
University and MIT. Hsu's research interests include combinatorics
and graph theory, network interconnection and communications, and
computing, informatics and analytics. An information fusion method he
and his colleagues proposed and developed, Combinatorial Fusion
Analysis, has been applied to target tracking, internet search,
virtual screening, bioinformatics and brain informatics. Hsu has
served on several editorial boards including Journal of
Interconnection Networks, Pattern Recognition Letter, IEEE
Transactions on Computers, Networks, International journal of
Foundation of Computer Science, and Journal of Ubiquitous Computing
and Intelligence. Hsu is a Fellow of the New York Academy of
Sciences, the Institute of Combinatorics and Applications, and
International Society of Intelligent Biological Medicine. He is
currently Vice Chair of the New York Chapter of the IEEE Computational
Intelligence Society.
People's Opinion, People's Nexus, People's Security and Computational Intelligence: the Evolution Continues
Abstract:
The talk begins with a brief introduction to some of our research work
in the past few years as well as the ongoing research. A new model on
extending the flexibility and responsiveness of websites through
automated learning for custom-tailoring and adaptive web to user usage
patterns, interests, goals, knowledge and preferences will be
presented. The second part of the talk will be devoted to the
challenges that the Computational Intelligence communities are faced
with in order to address issues related to people's nexus, opinion,
and security on the Web, and our contributions to these topics. At the
end, I will provide an overview of our current research focus on
network security and intelligence information handling and
disimination.
Profile:
Dr. Ali Ghorbani has held a variety of positions in academia for the
past 30 years including heading up projects and research groups and as
department chair, director of computing services, and as assistant
dean. Currently, Dr. Ghorbani serves as Dean of the Faculty of
Computer Science, University of New Brunswick. He received the
university’s merit award for outstanding contributions to the
University of New Brunswick in 2003 and UNB Research Scholar award for
2007-08. His current research focus is Web Intelligence, Network &
Information Security, Complex Adaptive Systems, and Critical
Infrastructure Protection. He authored more than 240 reports, book
chapters, research papers in journals and conference proceedings and
has edited 8 volumes. He is the co-inventor of 3 patents in the area
of Web Intelligence and Network Security. He served as General Chair
and Program Chair/co-Chair for 10 International Conferences, and
organized over 10 International Workshops. He has also supervised more
than 120 research associates, postdoctoral fellows, and graduate
students. Dr. Ghorbani is the founding Director of Information
Security Centre of Excellence at UNB. He is also the coordinator of
the Privacy, Security and Trust (PST) network. Dr. Ghorbani is the
co-Editor-In-Chief of Computational Intelligence, an international
journal, and associate editor of the International Journal of
Information Technology and Web Engineering and the ISC journal of
Information Security. His book, Intrusion Detection and Prevention
Systems: Concepts and Techniques published in 2009. Dr. Ghorbani is
the member of ACM, IEEE, and Canadian Information Processing Society
(CIPS). He is a member of CIPS Professional Standards Advisory Council
(PSAC) and the Natural Sciences and Engineering Research Council of
Canada committee on Safety and Security.
Towards Conversational Artifacts
Abstract:
Conversation is a natural and powerful means of communication for people to collaboratively create and share information. People are skillful in expressing meaning by coordinating multiple modalities, interpreting utterances by integrating partial cues, and aligning their behavior to pursuing joint projects in conversation. A big challenge is to build conversational artifacts – such as intelligent virtual agents or conversational robots – that can participate in conversation so as to mediate the knowledge process in a community. In this article, I present an approach to building conversational artifacts. Firstly, I will highlight an immersive WOZ environment called ICIE (Immersive Collaborative Interaction Environment) that is designed to obtain detailed quantitative data about human-artifact interaction. Secondly, I will overview a suite of learning algorithms for enabling our robot to build and revise a competence of communication as a result of observation and experience. Thirdly, I will argue how conversational artifacts might be used to help people work together in multi-cultural knowledge creation environments.
Profile:
Toyoaki Nishida is Professor at Department of Intelligence Science and
Technology, Graduate School of Informatics, Kyoto University. He
received the B.E., the M.E., and the Doctor of Engineering degrees
from Kyoto University in 1977, 1979, and 1984, respectively. His
research centers on artificial intelligence and human computer
interaction. He founded an international workshop series on social
intelligence design in 2001. Major works in social intelligence design
have been published in several special issues of the AI & Society
journal. He opened up a new field of research called conversational
informatics in 2003. He collected and compiled representative works in
conversational informatics as: Nishida (ed.) Conversational
Informatics -- An Engineering Approach, Wiley, 2007. Currently, he
leads several projects related to social intelligence design and
conversational informatics. He serves for numerous academic
activities, including the president of JSAI (Japanese Society for
Artificial Intelligence), an associate editor of the AI & Society
journal, an area editor (Intelligent Systems) of the New Generation
Computing journal, a technical committee member of Web Intelligence
Consortium, and an associate member of the Science Council of Japan.
Xuesen Qian Memoriam Invited Talk
Study of System Intuition by Noetic Science Founded by QIAN Xuesen
Abstract:
This talk investigates the meaning, contents and characteristics of
systems institution on the basis of Noetic Science, which was founded
by Qian Xuesen. The systems intuition is the human capability to find
the hidden system imagery of the object or to create an imagery of new
system. The basic noetic foundation of system intuition and cultural
influence to it are studied. The open problems are also listed.
Profile:
Professor Zhongtuo Wang is affiliated with School of Management,
Dalian University of Technology (DUT). He is the director of Research
Center of Knowledge Science and Technology in DUT. Professor Wang is
the member of Chinese Academy of Engineering. In 1950s Professor Wang
joined Department of Electrical Engineering, DUT. As the founder of
Department of Control Engineering of DUT, he made a lot of
contributions to the teaching and research in the field of optimal
control and computer applications. In the year of 1977, he
transferred to the area of systems engineering. He was one of the
pioneers in systems engineering in China (e.g. research and practice,
PhD program, etc.) and had served as vice-president of Systems
Engineering Society of China. He is the founder of Institute of
Systems Engineering - DUT and devoted himself to research on decision
analysis, complex adaptive system and network optimization. He acted
as the principal investigator for a lot of practical projects on
systems engineering practice, including the strategic analysis of
regional economic development, production planning of petroleum
refinery, planning and scheduling of the construction projects, and
impact study of information technology to the management
transformation. Besides, Professor Wang developed graduate programs on
systems engineering and later on management science for DUT. During
1986-1988, Professor Wang have been worked in the International
Institute for Applied Systems Analysis (IIASA) in Vienna, Austria. He
served as the coordinator of an intenational collaborative project and
designed the 1st Decision Support System for Regional Development and
Planning of China, well-known internationally for his outstanding
contributions. Professor Wang has published 14 books, 9 translations
and more than 140 papers and reports. He had received 2 national
awards, 9 awards from ministries of Chinese government. Professor
Wang is now engaged in research on knowledge management and
technological innovation.
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Professor Yulin Qin
(joint talk with Ning Zhong)
The International WIC Institute, Beijing University of Technology, and
Department of Psychology, Carnegie Mellon University
http://www.wici-lab.org/wici/
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Herbert Simon Memoriam Invited Talk
Study of Problem Solving Following Herbert Simon
Abstract:
Herbert Simon (1916.6.15 - 2001.2.9) was one of the greatest pioneers
in cognitive science and artificial intelligence, as well as in
behavior economics and many other fields. Problem solving was his
core work in artificial intelligence and cognitive psychology. He and
Newell first postulated a general and systematic framework of human
(and machine) problem solving as iteratively applying operators to
transform the state of the problem from the starting state in problem
state space to eventually achieve the goal state. Heuristic problem
solving includes two basic components: heuristic searching (such as
means-ends analysis) and heuristic rules (used to change the problem
states). And then, he extended this framework in two dimensions. One
is applying this framework to creative learning and scientific
discovery (both were thought as specific ill-structured problem
solving tasks); the other is to elaborate this general framework with
more detailed models in memory (such as chunk structure in short term
memory) and the knowledge (and problem) representations, including the
knowledge structure difference between experts and naives,
diagrammatic representation and mental imagery. To meet the challenge
of Web intelligence and to pioneer the effective and efficient ways of
information processing at Web scale, as the first step, we would learn
this process from human brain, one of the greatest webs, based on
Simon and Newell's framework in problem solving. We have found that,
even in the basic application of heuristic rules, the processes are
distributed in several major parts of brain and with certain areas for
the communications across these networks. We have checked the brain
activations in regard to working memory and mental imagery in problem
solving. We have also found the evidences supporting the hypothesis
that the scientific discovery is a specific problem solving from
neural activations that central brain areas activated in scientific
discovery overlapping with the areas in general problem solving tasks.
These findings offer strong clues for how to solve problems at Web
scale.
Profile:
Yulin Qin is a distinguished professor in the International WIC
Institute, Beijing University of Technology, and a senior research
psychologist in the department of psychology, Carnegie Mellon
University. Professor Qin received M.E (1982) in computer science and
engineering at Beijing University of Aeronautics and Astronautics, and
Ph.D. (1992) in cognitive psychology at Carnegie Mellon University
with Herbert Simon as advisor. His research interests include
cognitive psychology, cognitive neuroscience and Web Intelligence, and
currently focus on the neural basis of ACT-R, a computational
cognitive architecture, and its various industrial applications,
including in Web Intelligence.
