Web Intelligence Meets Brain Informatics: First WICI International Workshop, WImBI 2006, Beijing, China, December 15-16, 2006, Revised Selected and Invited Papers

ISBN-13: 9783540770275 / Angielski / Miękka / 2007 / 516 str.

Ning Zhong;Jiming Liu;Yiyu Yao

Opis

This book constitutes the thoroughly refereed post-workshop proceedings of the First WICI International Workshop on Web Intelligence meets Brain Informatics, WImBI 2006, which was held in Beijing, China, in December 2006. The workshop explores a new perspective of Web Intelligence (WI) research from the viewpoint of Brain Informatics (BI). The 26 revised full-length papers presented together with three introductory lectures have been carefully reviewed and selected.

Spis treści

Web Intelligence Meets Brain Informatics.- Neuroscience: New Insights for AI?.- Network Thinking and Network Intelligence.- Synergy of Web Intelligence and Brain Informatics.- Web Intelligence Meets Brain Informatics at the Language Barrier: A Procrustean Bed?.- Conversational Informatics Where Web Intelligence Meets Brain Informatics.- Intelligence for Upgrading Information.- Toward Perception Based Computing: A Rough-Granular Perspective.- Granular Computing: Modeling Human Thoughts in the Web by Polyhedron.- Cognitive Science, Neuroscience, and Brain Informatics.- Biophysical Models of Neural Computation: Max and Tuning Circuits.- Cognitive Architectures and the Challenge of Cognitive Social Simulation.- ACT-R Meets fMRI.- The Neural Mechanism of Human Numerical Inductive Reasoning Process: A Combined ERP and fMRI Study.- Central Nervous Processing for Acupuncture at Liv3 with fMRI: A Preliminary Experience.- A Role for Signal Propagation Through the Hippocampal CA2 Field in Memory Formation.- Genetic Granular Cognitive Fuzzy Neural Networks and Human Brains for Pattern Recognition.- Domain-Oriented Data-Driven Data Mining (3DM): Simulation of Human Knowledge Understanding.- An Ontology-Based Mining System for Competitive Intelligence in Neuroscience.- Web Intelligence Applications.- Supervised Web Document Classification Using Discrete Transforms, Active Hypercontours and Expert Knowledge.- Fuzzy Web Surfer Models: Theory and Experiments.- Intuitive Display for Search Engines Toward Fast Detection of Peculiar WWW Pages.- GridMiner: An Advanced Grid-Based Support for Brain Informatics Data Mining Tasks.- A Semantically Enabled Service Oriented Architecture.- Spam Filtering and Email-Mediated Applications.- Ontology Based Web Mining for Information Gathering.- A Reasonable Rough Approximation for Clustering Web Users.- E-Business Intelligence Via MCMP-Based Data Mining Methods.- Intelligence Metasynthesis in Building Business Intelligence Systems.- Risk Mining in Medicine: Application of Data Mining to Medical Risk Management.- Using Cryptography for Privacy Protection in Data Mining Systems.

O autorze

Ning Zhong is currently head of Knowledge Information Systems Laboratory, and a professor in Department of Systems and Information Engineering, Graduate School, Maebashi Institute of Technology, Japan. He is also CEO of Web Intelligence Laboratory, Inc., a new type of venture intelligent IT business company. Before moving to Maebashi Institute of Technology, he was an associate professor in Department of Computer Science and Systems Engineering, Yamaguchi University, Japan. He is also a guest professor of Beijing University of Technology since 1998. He is the co-founder and co-chair of Web Intelligence Consortium (WIC), vice chair of the executive committee of the IEEE Computer Society Technical Committee on Computational Intelligence (TCCI), the advisory board of ACM SIGART, steering committee of IEEE International Conferences on Data Mining (ICDM), the advisory board of International Rough Set Society, steering committee of Pacific-Asia Conferences on Knowledge Discovery and Data Mining (PAKDD), coordinator and member of advisory board of a Special Interest Group on Granular Computing in Berkeley Initiative in Soft Computing (BISC/SIG-GrC). Dr. Jiming Liu is the Head of Computer Science Department at Hong Kong Baptist University (HKBU). He leads the AAMAS/AOC Research Group (i.e., Autonomous Agents and Multi-Agent Systems / Autonomy-Oriented Computing) at HKBU. He holds a B.Sc. degree in Physics from East China Normal University in Shanghai, an M.A. degree in Educational Technology from Concordia University in Montreal, and an M.Eng. and a Ph.D. degrees both in Electrical Engineering from McGill University in Montreal. In Feb.-July 1999, Dr. Liu was an invited Visiting Scholar in Computer Science Department, Stanford University, where he was associated with the AI & Robotics Laboratory and taught advanced graduate classes on topics related to Robot Learning, Neural Robots, and Evolutionary Robotics. He is Guest Professor at University of Science and Technology of China, East China Normal University (Software Engineering Institute), and Beijing University of Technology, as well as Adjunct Fellow at E-Business Technology Institute (ETI - a joint partnership institute between IBM and University of Hong Kong). Dr. Liu is the co-founder of Web Intelligence Consortium (WIC), an international organization dedicated to promoting world-wide scientific research and industrial development in the era of Web and agent Intelligence. He has founded andserved, or is serving, as Program, Conference, Workshop, and General Chairs for several international conferences and workshops, including The IEEE/WIC International Conference on Web Intelligence (WI) series and The IEEE/WIC International Conference on Intelligent Agent Technology (IAT) series, and is presently serving as the Senior Program Committee Member, Program Committee Member, and Steering/Planning Committee Member for many major international conferences.