Czasopismo
2007
|
Vol. 75, nr 1-4
|
385-406
Tytuł artykułu
Autorzy
Wybrane pełne teksty z tego czasopisma
Warianty tytułu
Języki publikacji
Abstrakty
Information becomes more and more sophisticated with its ever-increasing use. Information sophistication relates closely to human intelligence. In order to ensure the common form of information, a symbolic language has been developed. It gradually progressed so that the representation of information of higher-level sophistication becomes possible. However, there is still a lot of information that cannot be captured by a language and has to be represented at very low level. A great effort is necessary for representing such information in a symbolic language because there is a large gap between non-symbolic and symbolic representations. This paper discusses two problems concerning bridging this gap, one from symbolic processing side and the other from non-symbolic processing side. The former is the language aspect of activity called discovery. The latter concerns an evolutional process of language creation. Both are very important topics for explaining the process of sophisticating information.
Czasopismo
Rocznik
Tom
Strony
385-406
Opis fizyczny
bibliogr. 10 poz.
Twórcy
autor
- emeritus professor of University of Tokyo, Japan, ohsuga@s01.itscom.net
Bibliografia
- [1] Object Management Group: UML, Unified Modeling Language, http://www.uml.org/.
- [2] Lin, T. Y., Ohsuga, S., Lian, C. J., Hu, X., Tsumoto, S.: Foundation of Data Mining and Knowledge Discovery, Studies in Computational Intelligence, 6, 2005.
- [3] Ohsawa, Y.: Data Crystallization: Chance Discovery Extended for Dealing with Unobservable Events, New Mathematics and Natural Computation, 1, 2005.
- [4] Ohsuga, S.: Symbol Processing by Non-Symbol Processor, Proc. of PRICAI '96, 1996.
- [5] Ohsuga, S.: The Gap between Symbol and Non-Symbol Processing -An Attempt to Represent a Database by Predicate Formulae, Proc. of PRICAI 2000, 2000.
- [6] Pawlak, Z.: Some Remarks on Explanation of Data and Specification of Processes, Bulletin of International Rough Set Theory, 1, 1996.
- [7] Ruan, D., Chen, G., Kerre, E. E.: Intelligent Data Mining -Techniques and Applications, Studies in Computational Intelligence, 5, 2005.
- [8] Suraj, Z.: Information Systems as a Tool for Specification of Concurrent System, ICRA 2003, 2003, 4324-4329.
- [9] Tsukimoto, H.: Symbol pattern integration using multi-linear functions, Proc. of Deep Fusion of Computational and Symbolic Processing, 2000.
- [10] Zhong, N., Dong, J. Z.: A Hybrid Model for Rule Discovery in Data, Knowledge Based Systems, 14, 2001, 397-412.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.baztech-article-BUS5-0009-0022