Web intelligence meets brain informatics

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4845 LNAI, Issue , 2007, Pages 1-31

  Zhong, Ning ^a,b   Liu, Jiming ^a,c   Yao, Yiyu ^a,d   Wu, Jinglong ^a,e   Lu, Shengfu ^a   Qin, Yulin ^a,f   Li, Kuncheng ^a,g   Wah, Benjamin ^a,h  

^a BEIJING UNIVERSITY OF TECHNOLOGY   (China)

^b MAEBASHI INSTITUTE OF TECHNOLOGY   (Japan)

^c HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

^d UNIVERSITY OF REGINA   (Canada)

^e KAGAWA UNIVERSITY   (Japan)

^f CARNEGIE MELLON UNIVERSITY   (United States)

^g CAPITAL MEDICAL UNIVERSITY   (China)

^h UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; ENGINEERING RESEARCH; HUMAN ENGINEERING; MAGNETIC RESONANCE IMAGING; STEREO VISION; WEB SERVICES;

BRAIN INFORMATICS; EXPERIMENTAL COGNITIVE NEUROSCIENCE; HUMAN INTELLIGENCE; WEB INTELLIGENCE;

NEURAL NETWORKS;

EID: 38349162051     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-77028-2_1     Document Type: Conference Paper

References (101)

1. Ahl, V., Allen, T.F.H.: Hierarchy Theory, a Vision, Vocabulary and Epistemology. Columbia University Press (1996)
2. Allen, T.F.: A Summary of the Principles of Hierarchy Theory, (accessed March 11, 2005), http://www.isss.org/hierarchy.htm
3. Anderson, J.R., Bothell, D., Byne, M.D., Douglass, S., Lebiere, C., Qin, Y.: An Integrated Theory of the Mind. Psychological Review 111(4), 1036-1060 (2004)
4. Bak, P.: How Nature Works: The Science of Self-Organised Criticality. Copernicus Press (1996)
5. Bargiela, A., Pedrycz, W.: Granular Computing: An Introduction, Kluwer Academic Publishers, Boston (2002)
6. Bargiela, A., Pedrycz, W.: The Roots of Granular Computing. In: Proceedings of 2006 IEEE International Conference on Granular Computing, pp. 806-809 (2006)
7. Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American 284, 34-43 (2001)
8. Cai, C., Kochiyama, T., Osaka, K., Wu, J.: Lexical/Semantic Processing in Dorsal Left Inferior Frontal Gyrus. NeuroReport (in press, 2007)
9. Cannataro, M., Talia, D.: The Knowledge Grid. Communications of the ACM 46, 89-93 (2003)
10. Chen, Y.H., Yao, Y.Y.: Multiview intelligent data analysis based on granular computing. In: Proceedings of 2006 IEEE International Conference on Granular Computing, pp. 281-286 (2006)
11. Christoff, K., Prabhakaran, V., Dorfman, J., Zhao, Z., Kroger, J.K., Holyoak, K.J., Gabrieli, J.D.E.: Rostrolateral Prefrontal Cortex Involvement in Relational Integration During Reasoning. NeuroImage 14(5), 1136-1149 (2001)
12. Fensel, D.: Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce. Springer, Heidelberg (2001)
13. Fensel, D., Harmelen, F.: Unifying Reasoning and Search to Web Scale. IEEE Internet Computing 11(2), 94-96 (2007)
14. Foster, I., Kesselman, C. (eds.): The Grid: Blueprint for a New Computing Infrastructure. Morgan Kaufmann, San Francisco (1999)
15. Gazzaniga, M.S., Smylie, C.S.: Dissociation of Language and Cognition. Brain 107(1), 145-153 (1984)
16. Gazzaniga, M.S.: The Mind's Past. University of California Press, Berkeley, CA (1998)
17. Gazzaniga, M.S. (ed.): The Cognitive Neurosciences III. MIT Press, Cambridge (2004)
18. Goel, V., Gold, B., Kapur, S., Houle, S.: The Seats of Reason? An Imaging Study of Deductive and Inductive Reasoning. NeuroReport 8(5), 1305-1310 (1997)
19. Goel, V., Dolan, R.J.: Anatomical Segregation of Component Processes in an Inductive Inference Task. Journal of Cognitive Neuroscience 12(1), 1-10 (2000)
20. Goel, V., Dolan, R.J.: Differential Involvement of Left Prefrontal Cortex in Inductive and Deductive Reasoning. Cognition 93(3), B109-B121 (2004)
21. Handy, T.C.: Event-Related Potentials, A Methods Handbook. The MIT Press, Cambridge (2004)
22. Hawkins, J., Blakeslee, S.: On Intelligence. Henry Holt and Company, New York (2004)
23. Hobbs, J.R.: Granularity. In: Proceedings of the Ninth International Joint Conference on Artificial Intelligence, pp. 432-435 (1985)
24. Hu, J., Zhong, N.: Organizing Multiple Data Sources for Developing Intelligent e-Business Portals. Data Mining and Knowledge Discovery 12(2-3), 127-150 (2006)
25. Inuiguchi, M., Hirano, S., Tsumoto, S. (eds.): Rough Set Theory and Granular Computing. Springer, Berlin (2003)
26. Kauffman, S.: At Home in the Universe: the Search for Laws of Complexity. Oxford University Press, Oxford (1996)
27. Koslow, S.H., Subramaniam, S. (eds.): Databasing the Brain: From Data to Knowledge. Wiley, Chichester (2005)
28. Laird, J.E., van Lent, M.: Human-Level AI's Killer Application Interactive Computer Games. AI Magazine, 15-25 (2001)
29. Li, C., Kochiyama, T., Wu, J., Chui, D., Tsuge, T., Osaka, K.: Attention Systems and Neural Responses to Visual and Auditory Stimuli: an fMRI Study. In: Proc. 2007IEEE/ICME International Conference on Complex Medical Engineering, pp. 1515-1519 (2007)
30. Li, Y., Zhong, N.: Mining Ontology for Automatically Acquiring Web User Information Needs. IEEE Transactions on Knowledge and Data Engineering 18(4), 554-568 (2006)
31. Liang, P., Zhong, N., Wu, J.L., Lu, S., Liu, J., Yao, Y.Y.: Time Dissociative Characteristics of Numerical Inductive Reasoning: Behavioral and ERP Evidence. In: Proc 2007 International Joint Conference on Neural Networks (IJCNN 2007), IEEE Press (in press, 2007)
32. Lin, T.Y., Yao, Y.Y., Zadeh, L.A. (eds.): Data Mining, Rough Sets and Granular Computing. Physica-Verlag, Heidelberg (2002)
33. Liu, J., Tang, Y.Y., Cao, Y.C.: An Evolutionary Autonomous Agents Approach to Image Feature Extraction. IEEE Transaction on Evolutionary Computation 1(2), 141-158 (1997)
34. Liu, J.: Autonomous Agents and Multi-Agent Systems: Explorations in Learning, Self-Organization, and Adaptive Computation. World Scientific, Singapore (2001)
35. Liu, J., Han, J., Tang, Y.Y.: Multi-agent Oriented Constraint Satisfaction. Artificial Intelligence 136(1), 101-144 (2002)
36. Liu, J., Zhang, S., Yang, J.: Characterizing Web Usage Regularities with Information Foraging Agents. IEEE Transactions on Knowledge and Data Engineering 16(5), 566-584 (2004)
37. Liu, J., Zhong, N., Yao, Y.Y., Ras, Z.W.: The Wisdom Web: New Challenges for Web Intelligence (WI). Journal of Intelligent Information Systems 20(1), 5-9 (2003)
38. Liu, J.: Web Intelligence (WI): What Makes Wisdom Web? In: Proc. Eighteenth International Joint Conference on Artificial Intelligence (IJCAI 2003), pp. 1596-1601 (2003)
39. Liu, J., Jin, X., Tang, Y.: Multi-agent Collaborative Service and Distributed Problem Solving. Cognitive Systems Research 5(3), 191-206 (2004)
40. Liu, J., Jin, X., Tsui, K.C.: Autonomy Oriented Computing: From Problem Solving to Complex Systems Modeling. Springer, Heidelberg (2005)
41. Marr, D.: Vision, A Computational Investigation into Human Representation and Processing of Visual Information. W.H. Freeman and Company, San Francisco (1982)
42. McCarthy, J.: Roads to Human Level AI? Keynote Talk at Beijing University of Technology, Beijing, China (September 2004)
43. Megalooikonomou, V., Herskovits, E.H.: Mining Structure-Function Associations in a Brain Image Database. In: Cios, K.J. (ed.) Medical Data Mining and Knowledge Discovery, pp. 153-179. Physica-Verlag (2001)
44. Mizuhara, H., Wu, J., Nishikawa, Y.: The Degree of Human Visual Attention in the Visual Search. International Journal Artificial Life and Robotics 4, 57-61 (2000)
45. Mitchell, T.M., Hutchinson, R., Niculescu, R.S., Pereira, F., Wang, X., Just, M., Newman, S.: Learning to Decode Cognitive States from Brain Images. Machine Learning 57(1-2), 145-175 (2004)
46. Newell, A., Simon, H.A.: Human Problem Solving. Prentice-Hall, Englewood Cliffs (1972)
47. Newell, A.: Unified Theories of Cognition. Harvard University Press (1990)
48. Nguyen, H.S., Skowron, A., Stepaniuk, J.: Granular Computing: A Rough Set Approach. Computational Intelligence 17, 514-544 (2001)
49. O'Reilly, R.C.: Biologicall Based Computational Models of High-Level Cognition. Science 314(5796), 91-94 (2006)
50. Ohshima, M., Zhong, N., Yao, Y.Y., Liu, C.: Relational Peculiarity Oriented Mining. Data Mining and Knowledge Discovery, Springer (in press)
51. Van Orden, G.C., Holden, J.G., Turvey, M.T.: Self-organization of Cognitive Performance. Journal of Experimental Psychology: General 132, 331-350 (2003)
52. Pattee, H.H. (ed.): Hierarchy Theory, The Challenge of Complex Systems. George Braziller, New York (1973)
53. Pawlak, Z.: Granularity, Multi-valued Logic, Bayes' Theorem and Rough Sets. In: Lin, T.Y., Yao, Y.Y., Zadeh, L.A. (eds.) Data Mining, Rough Sets and Granular Computing, pp. 487-498. Physica-Verlag, Heidelberg (2002)
54. Pedrycz, W. (ed.): Granular Computing: An Emerging Paradigm. Physica-Verlag, Heidelberg (2001)
55. Pinker, S.: How the Mind Works (1997)
56. Polkowski, L.: A Model of Granular Computing with Applications: Granules from Rough Inclusions in Information Systems. In: Proceedings of 2006 IEEE International Conference on Granular Computing, pp. 9-16 (2006)
57. Polkowski, L., Skowron, A.: Towards Adaptive Calculus of Granules. In: Proceedings of 1998 IEEE International Conference on Fuzzy Systems, pp. 111-116 (1998)
58. Qin, Y., Sohn, M.-H., Anderson, J.R., Stenger, V.A., Fissell, K., Goode, A., Carter, C.S.: Predicting the Practice Effects on the Blood Oxygenation Leveldependent (BOLD) Function of fMRI in a Symbolic Manipulation Task. Proceedings of the National Academy of Sciences, USA 100(8), 4951-4956 (2003)
59. Qin, Y., Carter, C.S., Silk, E., Stenger, V.A., Fissell, K., Goode, A., Anderson, J.R.: The Change of the Brain Activation Patterns as Children Learn Algebra Equation Solving. Proceedings of the National Academy of Sciences, USA 101(15), 5686-5691 (2004)
60. Rosen, B.R., Buckner, R.L., Dale, A.M.: 'Event-related functional MRI: Past, Present, and Future. Proceedings of National Academy of Sciences, USA 95(3), 773-780 (1998)
61. Shulman, R.G., Rothman, D.L.: Interpreting Functional Imaging Studies in Terms of Neurotransmitter Cycling. Proceedings of National Academy of Sciences, USA 95(20), 11993-11998 (1998)
62. Simon, H.A.: The Organization of Complex Systems. In: Pattee, H.H. (ed.) Hierarchy Theory, The Challenge of Complex Systems, pp. 1-27 George Braziller, New York, (1963)
63. Skowron, A., Stepaniuk, J.: Information Granules: Towards Foundations of Granular Computing. International Journal of Intelligent Systems 16, 57-85 (2001)
64. Skowron, A., Synak, P.: Hierarchical Information Maps. In: Ślȩzak, D., Wang, G., Szczuka, M., Düntsch, I., Yao, Y. (eds.) RSFDGrC 2005. LNCS (LNAI), vol. 3641, pp. 622-631. Springer, Heidelberg (2005)
65. Sohn, M.-H., Douglass, S.A., Chen, M.-C., Anderson, J.R.: Characteristics of Fluent Skills in a Complex, Dynamic Problem-solving Task. Human Factors 47(4), 742-752 (2005)
66. Sommer, F.T., Wiehert, A. (eds.): Exploratory Analysis and Data Modeling in Functional Neuroimaging, MIT Press, Cambridge (2003)
67. Sternberg, R.J., Lautrey, J., Lubart, T.I.: Models of Intelligence. American Psychological Association (2003)
68. Su, Y., Zheng, L., Zhong, N., Liu, C., Liu, J.: Distributed Reasoning Based on Problem Solver Markup Language (PSML): A Demonstration through Extended OWL. In: Proc. 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE 2005), pp. 208-213. IEEE Press, Los Alamitos (2005)
69. Su, Y., Liu, J., Zhong, N., Zheng, L., Liu, C.: A Method of Distributed Problem Solving on the Web. In: Proc. 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2005), pp. 42-45. IEEE Press, Los Alamitos (2005)
70. Tsukimoto, H., Morita, C.: The Discovery of Rules from Brain Images. In: Arikawa, S., Motoda, H. (eds.) DS 1998. LNCS (LNAI), vol. 1532, pp. 198-209. Springer, Heidelberg (1998)
71. Turing, A.: Computing Machinery and Intelligence. Mind LIX (236), 433-460 (1950)
72. Varley, R., Siegal, M.: Evidence for Cognition without Grammar from Causal Reasoning and 'Theory of Nind' in an Agrammatic Aphasie Patient. Current Biology 10(12), 723-726 (2000)
73. Ward, L.M.: Synchronous Neural Oscillations and Cognitive Processes. TRENDS in Cognitive Sciences 7(12), 553-559 (2003)
74. Wu, J., Cai, C., Kochiyama, T., Osaka, K.: Function Segregation in the Left Inferior Frontal Gyrus: a Listening fMRI Study. NeuroReport 18(2), 127-131 (2007)
75. Yao, J.T.: Information Granulation and Granular Relationships. In: Proceedings of the IEEE Conference on Granular Computing, pp. 326-329 (2005)
76. Yao, Y.Y., Zhong, N., Liu, J., Ohsuga, S.: Web Intelligence (WI): Research Challenges and Trends in the New Information Age. In: Zhong, N., Yao, Y., Ohsuga, S., Liu, J. (eds.) WI2001. LNCS (LNAI), vol. 2198, pp. 1-17. Springer, Heidelberg (2001)
77. Yao, Y.Y.: Information Granulation and Rough Set Approximation. International Journal of Intelligent Systems 16, 87-104 (2001)
78. Yao, Y.Y., Zhong, N.: Granular Computing Using Information Tables. In: Lin, T.Y., Yao, Y.Y., Zadeh, L.A. (eds.) Data Mining, Rough Sets and Granular Computing, pp. 102-124. Physica-Verlag (2002)
79. Yao, Y.Y.: A Partition Model of Granular Computing. In: Peters, J.F., Skowron, A., Grzymala-Busse, J.W., Kostek, B., Świniarski, R.W., Szczuka, M. (eds.) Transactions on Rough Sets I. LNCS, vol. 3100, pp. 232-253. Springer, Heidelberg (2004)
80. Yao, Y.Y.: Web Intelligence: New Frontiers of Exploration. In: Proc. 2005 International Conference on Active Media Technology (AMT 2005), pp. 1-6 (2005)
81. Yao, Y.Y.: Three Perspectives of Granular Computing. Journal of Nanchang Institute of Technology 25, 16-21 (2006)
82. Yao, Y.Y.: 'The Art of Granular Computing. In: Kryszkiewicz, M., et al. (eds.) Rough Sets and Intelligent Systems Paradigms. LNCS (LNAI), vol. 4585, pp. 101-112. Springer, Heidelberg (2007)
83. Zadeh, L.A.: Towards a Theory of Fuzzy Information Granulation and Its Centrality in Human Reasoning and Fuzzy Logic. Fuzzy Sets and Systems 19, 111-127 (1997)
84. Zadeh, L.A.: Some Reflections on Soft Computing, Granular Computing and Their Roles in the Conception, Design and Utilization of Information/Intelligent Systems. Soft Computing 2, 23-25 (1998)
85. Zadeh, L.A.: Precisiated Natural Language (PNL). AI Magazine 25(3), 74-91 (2004)
86. Zhang, B., Zhang, L.: Theory and Applications of Problem Solving. North-Holland, Amsterdam (1992)
87. Zhang, L., Zhang, B.: The Quotient Space Theory of Problem Solving. Fundamenta Informatcae 59, 287-298 (2004)
88. Zhong, N., Liu, J., Yao, Y.Y., Ohsuga, S.: Web Intelligence (WI). In: Proc. 24th IEEE Computer Society International Computer Software and Applications Conference (COMPSAC 2000), pp. 469-470. IEEE Press, Los Alamitos (2000)
89. Zhong, N.: Multi-database Mining: a Granular Computing Approach. In: Proceedings of the Fifth Joint Conference on Information Sciences (JCIS-2000), pp. 198-201 (2000)
90. Zhong, N., Liu, C., Ohsuga, S.: Dynamically Organizing KDD Process. International Journal of Pattern Recognition and Artificial Intelligence 15(3), 451-473 (2001)
91. Zhong, N., Liu, J., Yao, Y.Y.: In Search of the Wisdom Web. IEEE Computer 35(11), 27-31 (2002)
92. Zhong, N.: Representation and Construction of Ontologies for Web Intelligence. International Journal of Foundations of Computer Science 13(4), 555-570 (2002)
93. Zhong, N., Liu, J., Yao, Y.Y. (eds.): Web Intelligence. Springer, Heidelberg (2003)
94. Zhong, N., Yao, Y.Y., Ohshima, M.: Peculiarity Oriented Multi-Database Mining. IEEE Transaction on Knowlegde and Data Engineering 15(4), 952-960 (2003)
95. Zhong, N.: Developing Intelligent Portals by Using WI Technologies. In: Li, J.P., et al. (eds.) Wavelet Analysis and Its Applications, and Active Media Technology, vol. 2, pp. 555-567. World Scientific, Singapore (2004)
96. Zhong, N., Wu, J.L., Nakamaru, A., Ohshima, M., Mizuhara, H.: Peculiarity Oriented fMRI Brain Data Analysis for Studying Human Multi-Perception Mechanism. Cognitive Systems Research 5(3), 241-256 (2004)
97. Zhong, N., Liu, J. (eds.): Intelligent Technologies for Information Analysis. Springer, Heidelberg (2004)
98. Zhong, N., Hu, J., Motomura, S., Wu, J.L., Liu, C.: Building a Data Mining Grid for Multiple Human Brain Data Analysis. Computational Intelligence 21(2), 177-196 (2005)
99. Zhong, N.: Impending Brain Informatics (BI) Research from Web Intelligence (WI) Perspective. International Journal of Information Technology and Decision Making 5(4), 713-727 (2006)
100. Zhong, N., Liu, J., Yao, Y.Y.: Envisioning Intelligent Information Technologies (iIT) from the Stand-Point of Web Intelligence (WI). Communications of the ACM 50(3), 89-94 (2007)
101. Zhong, N.: Ways to Develop Human-Level Web Intelligence: A Brain Informatics Perspective. In: Franconi, E., Kifer, M., May, W. (eds.) The Semantic Web: Research and Applications. LNCS, vol. 4519, pp. 27-36. Springer, Heidelberg (2007) 102. The OGSA-DAI Project: http://www.ogsadai.org.uk/