Integrative levels of granularity

Studies in Computational Intelligence

Volumn 182, Issue , 2009, Pages 31-47

  Yao, Yiyu ^a  

^a UNIVERSITY OF REGINA   (Canada)

Author keywords

Granular computing triangle; Granular structures; Integrative levels; multilevel; Multiview; Structured information processing; Structured problem solving; Structured thinking; Triarchic theory of granular computing

Indexed keywords

EID: 58149380314     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-540-92916-1_2     Document Type: Article

References (64)

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. Bargiela, A., Pedrycz, W.: Granular Computing: An Introduction. Kluwer Academic Publishers, Boston (2002)
4. Bargiela, A., Pedrycz, W.: The roots of granular computing. In: Proceedings of 2006 IEEE International Conference on Granular Computing, pp. 806-809 (2006)
5. Bargiela, A., Pedrycz, W.: Toward a theory of granular computing for human-centered information processing. IEEE Transactions on Fuzzy Systems (to appear, 2008)
6. Capra, F.: The Web of Life. Anchor Books, New York (1997)
7. Chen, Y.H., Yao, Y.Y.: A multiview approach for intelligent data analysis based on data operators. Information Sciences 178, 1-20 (2008)
8. Conger, G.P.: The doctrine of levels. The Journal of Philosophy 22, 309-321 (1925)
9. Craik, F.I.M.: LPvels of processing: past, present...and future? Memory 10, 305-318 (2002)
10. Craik, F.I.M., LAckhart, R.S.: Levels of processing: a framework for memory research. Journal of Verbal Learning and Verbal Behavior 11, 671-684 (1972)
11. Feibleman, J.K.: Theory of integrative levels. The British Journal for the Philosophy of Science 5, 59-66 (1954)
12. Flower, L.: Problem-Solving Strategies for Writing. Harcourt Brace Jovabovich, Inc., New York (1981)
13. Flower, L.S., Hayes, J.R.: Problem-solving strategies and the writing process. College English 39, 449-461 (1977)
14. Foster, C.L.: Algorithms, Abstraction and Implementation: Levels of Detail in Cognitive Science. Academic Press, London (1992)
15. Frank, S.D.: Remember Everything You Read. Times Books, New York (1990)
16. Friske, M.:ATeaching proofs: a lesson from software engineering. American Mathematical Monthly 92, 142-144 (1995)
17. Gray, W., Rizzo, N.D. (eds.): Unity Through Diversity, I & II. Gordon and Breach Science Publishers, New York (1973)
18. Hawkins, J., Blakeslee, S.: On Intelligence. Henry Holt and Company, New York (2004)
19. Hobbs, J.R.: Granularity. In: Proceedings of the Ninth International Joint Conference on Artificial Intelligence, pp. 432-435 (1985)
20. Inuiguchi, M., Hirano, S., Tsumoto, S. (eds.): Rough Set Theory and Granular Computing. Springer, Berlin (2003)
21. Keet, C.M.: A taxonomy of types of granularity. In: Proceeding of 2006 IEEE International Conference on Granular Computing, pp. 106-111 (2006)
22. Keet, C.M.: A Formal Theory of Granularity, PhD Thesis, KRDB Research Centre, Faculty of Computer Science, Free University of Bozen-Bolzano, Italy (2008) (accessed June 8, 2008), http://www.meteck.org/files/ AFormalTheoryOfGranularity_CMK08.pdf
23. Lamport, L.: How to write a proof. American Mathematical Monthly 102, 600-608 (1995)
24. Laszlo, E.: The Systems VTew of the World: the Natural Philosophy of the New Developments in the Science. George Brasiller, New York (1972)
25. Ledgard, H.F., Gueras, J.F., Nagin, P.A.: PASCAL with Style: Programming Proverbs. Hayden Book Company, Inc., New Jersey (1979)
26. Leron, U.: Structuring mathematical proofs. American Mathematical Monthly 90, 174-185 (1983)
27. Lin, T.Y., Yao, Y.Y., Zadeh, L.A. (eds.): Data Mining, Rough Sets and Granular Computing. Physica-Verlag, Heidelberg (2002)
28. Marr, D.: Vision, A Computational Investigation into Human Representation and Processing of Visual Information. W.H. Freeman and Company, San Francisco (1982)
29. Miller, G.A.: The magical number seven,Splus or minus two: some limits on our capacity for processing information. Psychological Review 63, 81-97 (1956)
30. Minsky, M.: The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human mind. Simon & Schuster Paperbacks, New York (2006)
31. Minto, B.: The Pyramid Principle: Logic in Writing and Thinking. Prentice Hall/Financial Times, London (2002)
32. Newell, A.: The knowledge level. Artificial Intelligence 18, 87-127 (1982)
33. Newell, A.: Reflections on the knowledge level. Artificial Intelligence 59, 31-38 (1993)
34. Nguyen, S.H., Akowron, A., Stepaniuk, J.: Granular computing: a rough set approach. Computational Intelligence 17, 514-544 (2001)
35. Novikoff, A.B.: The concept of integrative levels and biology. Science 101, 209-215 (1945)
36. Patrides, C.A.: Hierarchy and order. In: Dictionary of the History of Ideas, pp. 434-449. Scribners, New York (1973)
37. Pattee, H.H.: Unsolved problems and potential applications of hierarchy theory. In: Pattee, H.H. (ed.) Hierarchy Theory, The Challenge of Complex Systems, pp. 129-156. George Braziller, New York (1973)
38. Pawlak, Z.: Granularity of knowledge, indiscernibility and rough sets. In: Proceedings of 1998 IEEE International Conference on Fuzzy Systems, pp. 106-110 (1998)
39. Pedrycz, W., Skowron, A., Kreinovich, V. (eds.): Handbook of Granular Computing. Wiley, New York (2008)
40. PeikoffT L.: Objectivism: the Philosophy of Ayn Rand. Dutton, New York (1991)
41. Poli, R.: Levels. Axiomathes 9, 197-211 (1998)
42. Poli, R.: The basic problem of the theory of level of reality. Axiomathes 12, 261-283 (2002)
43. Posner, M.I. (ed.): Foundations of Cognitive Science. The MIT Press, Cambridge (1989)
44. Ramberg, B., Gjesdal, K.: Hermeneutics. The Stanford Encyclopedia of Philosophy (accessed June 14, 2005)
45. Reif, F., Heller, J.: Knowledge structure and problem solving in physics. Educational Psychologist 17, 102-127 (1982)
46. Salthe, S.N.: Evolving Hierarchical Systems, Their Structure and Representation. Columbia University Press (1985)
47. 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 (1973)
48. Simpson, S.G.: What is foundations of mathematics? (accessed November 21, 1996), http://www.math.psu.edu/simpson/hierarchy.html
49. Skyttner, L.: General Systems Theory, Ideas & Applications. World Scientific, Singapore (2001)
50. VerdiAr, B.: Hierarchy: a short history of a word in western thought. In: Pumain, D. (ed.) Hierarchy in Natural and Social Sciences, pp. 13-37. Springer, The Netherlands (2006)
51. von Bertalanffy, L.: An outline of general system theory. The British Journal for the Philosophy of Science 1, 134-165 (1950)
52. Wilson, T.D.: Philosophical foundations and Iesearch relevance: issues for information research. Journal of Information Science 29, 445-452 (2003)
53. Yao, J.T.: A ten-year review of granular computing. In: Proceedings of 2007 IEEE International Conference on Granular Computing, pp. 734-739 (2007)
54. Yao, Y.Y.: GraBular computing: basic issues and possible solution. In: Proceedings of the 5th Joint Conference on Information Sciences, pp. 186-189 (2000)
55. Yao, Y.Y.: A partition model of granular computing. In: Peters, J.F., Skowron, A., Grzymała-Busse, J.W., Kostek, B.Z., Świniarski, R.W., Szczuka, M.S. (eds.) Transactions on Rough Sets I. LNCS, vol. 3100, pp. 232-253. Springer, Heidelberg (2004)
56. Yao, Y.Y.: Granular computing. Computer Science (Ji Suan Ji Ke Xue) 31, 1-5 (2004b)
57. Yao, Y.Y.: Perspectives of granular computing. In: Proceedings of 2005 IEEE International Conference on Granular Computing, pp. 85-90 (2005)
58. Yao, Y.Y.: Three perspectives of granular computing. Journal of Nanchang Institute of Technology 25, 16-21 (2006)
59. Yao, Y.Y.: The art of granular computing. In: Kryszkiewicz, M., Peters, J.F., Rybinski, H., Skowron, A. (eds.) RSEISP 2007. LNCS, vol. 4585, pp. 101-112. Springer, Heidelberg (2007)
60. Yao, Y.Y.: Structured writing with granular computing strategies. In: Proceedings of 2007 IEEE International Conference on Granular Computing, pp. 72-77 (2007b)
61. Yao, Y.Y.: The rise of granular computing. Journal of Chongqing University of Posts and Telecommunications (Natural Science Edition) 20, 299-308 (2008)
62. Young, G.L.: Hierarchy Snd central place: some questions of more general theory. Geografiska Annaler, Series B, Human Geography 60, 71-78 (1978)
63. Zadeh, L.A.: Towards a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic. Fuzzy Sets and Systems 90, 111-127 (1997)
64. Zhang, L., Zhang, B.: Theory and Application of Problem Solving - Theory and Application of Granular Computing in Quotient Spaces, 2nd edn. Tsinghua University Press, Beijing (2007)