2010 International Conference on Brain Informatics (BI 2010) August 28-30, 2010, Toronto, Canada Homepage: http://www.wici-lab.org/amtbi10 Mirror page: http://www.yorku.ca/amtbi10 Co-organized by IEEE Task Force on Brain Informatics (IEEE TF-BI) Web Intelligence Consortium (WIC) Co-sponsored by York University, Toronto, Canada Springer Lecture Notes in Computer Science ################################################################## # Papers Due: *** 31 March 2010 *** # Accepted papers will be published by Springer as a volume of # the series of LNCS/LNAI. # Extensions of selected papers from the proceedings will be # considered for publication in special issues of journals, ################################################################## Brain Informatics (BI) is an emerging interdisciplinary and multi-disciplinary research field that focuses on studying the mechanisms underlying the human information processing system (HIPS). BI investigates the essential functions of the brain, ranging from perception to thinking, and encompassing such areas as multi- perception, attention, memory, language, computation, heuristic search, reasoning, planning, decision-making, problem-solving, learning, discovery, and creativity. One goal of BI research is to develop and demonstrate a systematic approach to an integrated understanding of macroscopic and microscopic level working principles of the brain, by means of experimental, computational, and cognitive neuroscience studies, as well as utilizing advanced Web Intelligence (WI) centric information technologies. Another goal is to promote new forms of collaborative and interdisciplinary work. 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 distributed, large-scale analysis and computations, and radically new ways of data/knowledge sharing. The series of Brain Informatics Conferences started with The First WICI International Workshop on Web Intelligence meets Brain Informatics (WImBI'06), held at Beijing, China, December 15-16, 2006. The second conference, Brain Informatics 2009, was held again in Beijing, China, October 22-24, 2009. The Brain Informatics Conferences provide a leading international forum to bring together researchers and practitioners from diverse fields, such as computer science, information technology, artificial intelligence, Web intelligence, cognitive science, neuroscience, medical science, life science, economics, data mining, data and knowledge engineering, intelligent agent technology, human computer interaction, complex systems, and system science, to explore the main research problems in BI lie in the interplay between the studies of human brain and the research 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 centric information technologies are applied to support brain science studies. For instance, the wisdom Web and knowledge grids enable high-speed, large-scale analysis, simulation, and computation as well as new ways of sharing research data and scientific discoveries. On the other hand, informatics-enabled brain studies, e.g., based on fMRI, EEG, MEG significantly broaden the spectrum of theories and models of brain sciences and offer new insights into the development of human-level intelligence on the wisdom Web and knowledge grids. Brain Informatics 2010 will be jointly held with the 2010 International Conference on Active Media Technology (AMT 2010). The two conferences will have a joint opening, keynote, reception, and banquet. Attendees only need to register for one conference and can attend workshops, sessions, exhibits and demonstrations across the two conferences. +++++++++++++++++++ Topics of Interest +++++++++++++++++++ CONFERENCE TOPICS AND AREAS INCLUDE, BUT NOT LIMITED TO - Thinking and perception-centric investigations of HIPS: * Human reasoning mechanisms (e.g., principles of human deductive/inductive reasoning, common-sense reasoning, decision making, and problem solving) * Human learning mechanisms (e.g., stability, personalized user/student models) * Emotion, heuristic search, information granularity, and autonomy related issues in human reasoning and problem solving * Human higher cognitive functions and their relationships * Human multi-perception mechanisms and visual, auditory, and tactile information processing * Methodologies for systematic design of cognitive experiments * Investigating spatiotemporal characteristics and flow in HIPS and the related neural structures and neurobiological process * Cognitive architectures; their relations to fMRI/EEG/MEG * HIPS meets complex systems * Modeling brain information processing mechanisms (e.g., neuro-mechanism, mathematical, cognitive and computational models of HIPS). - Information technologies for the management and use of brain data: * Human brain data collection, pre-processing, management, and analysis * Databasing the brain and constructing data brain models * Data brain modeling and formal conceptual models of human brain data * Multi-media brain data mining and reasoning * Multi-aspect analysis in fMRI/EEG/MEG activations * Simulating spatiotemporal characteristics and flow in HIPS * Developing brain data grids and brain research support portals * Knowledge representation and discovery in neuroimaging * Multimodal information fusion for brain image interpretation * Statistical analysis and pattern recognition in neuroimaging - Applications * Neuro-economics and neuro-marketing * Brain-Computer-Interface (BCI) * Brain/Cognition inspired artificial systems * Wisdom Web systems based on new cognitive and computational models * MCI and AD diagnosis * e-Science, e-Health and e-Medicine ++++++++++++++++++++++++++++++++++++ On-Line Submissions and Publication ++++++++++++++++++++++++++++++++++++ High-quality papers in all BI related areas are solicited. Papers exploring new directions will receive a careful and supportive review. All submitted papers will be reviewed on the basis of technical quality, relevance, significance, and clarity. The proceeding of the conference will be published by Springer as a volume of the series of Lecture Notes in Computer Science/Lecture Notes in Artificial Intelligence (LNCS/LNAI). (Pending for approval.) Authors are strongly encouraged to use Springer LNCS/LNAI manuscript submission guidelines (available at http://www.springer.de/comp/lncs/authors.html) for their initial submissions (a maximum of 12 pages in Springer LNCS/LNAI style file). All papers must be submitted electronically in PDF format only, using the conference management tool. We will also have poster, demonstration, and late breaking result paper sessions. More detailed instructions and a paper submission form can be found the BI'10 Web page at http://www.wici-lab.org/amtbi10/ A selected number of the best papers from BI'10 will be expanded and revised for possible inclusion in "Knowledge and Information Systems: An International Journal" (http://www.cs.uvm.edu/~kais/) by Springer and "Cognitive Systems Research: An International Journal" (http://www.sciencedirect.com/science/journal/13890417) by Elsevier. +++++++ Awards +++++++ BI 2009 best paper awards and student paper awards will be conferred on the authors at the conference. ++++++++++++++++ Important Dates ++++++++++++++++ Electronic submission of full papers (12 pages in Springer LNAI/LNCS style file): *** 31 March 2010 *** Notification of paper acceptance: June 1, 2010 Camera-ready of accepted papers: June 24, 2010 Conference: August 28-30, 2010 ++++++++++++++++++++++++ Conference Organization ++++++++++++++++++++++++ Conference General Chairs: * Tomaso Poggio, Massachusetts Institute of Technology, USA * Jiming Liu, Hong Kong Baptist University, HK Program Chairs: * Yiyu Yao, University of Regina, Canada * Ron Sun, Rensselaer Polytechnic Institute, USA Organizing Chair: * Jimmy Huang, York University, Toronto, Canada Publicity Chairs: * Jian Yang, International WIC Institute/BJUT, China * Daniel Tao, Queensland University of Technology, Australia IEEE-CIS-TFBI Chair * Ning Zhong, Maebashi Institute of Technology, Japan WIC Co-Chairs/Directors: * Ning Zhong, Maebashi Institute of Technology, Japan * Jiming Liu, Hong Kong Baptist University, HK 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, Compiegne University of Technology, France * Hiroshi Motoda, Osaka University, Japan * Toyoaki Nishida, 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 *** Contact Information *** Email: Yiyu YaoJimmy Huang
Intelligent agents, autonomous agents, rational agents, avatars, robots, deliberative agents, BDI agents, reflex agents, learning agents, adaptive agents, fuzzy agents, embodied agents, hybrid agents, semantic agents, physical agents, temporal agents, multi-agent systems, self-organizing systems, distributed systems, complex systems
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Samstag, 13. März 2010
2010 International Conference on Brain Informatics (BI 2010)
Labels:
attention,
brain,
creativity,
decisionmaking,
discovery,
heuristics,
language,
learning,
memory,
planning,
preception,
problem solving,
reasoning
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