New Research Perspectives in the Emerging Field of Computational Intelligence to Economic Modeling
Abstract
Computational Intelligence (CI) is a new development paradigm of intelligent systems which has resulted from a synergy between fuzzy sets, artificial neural networks, evolutionary computation, machine learning, etc., broadening computer science, physics, economics, engineering, mathematics, statistics. It is imperative to know why these tools can be potentially relevant and effective to economic and financial modeling. This paper presents, after a synergic new paradigm of intelligent systems, as a practical case study the fuzzy and temporal properties of knowledge formalism embedded in an Intelligent Control System (ICS), based on FT-algorithm. We are not dealing high with level reasoning methods, because we think that real-time problems can only be solved by rather low-level reasoning. Most of the overall run-time of fuzzy expert systems is used in the match phase. To achieve a fast reasoning the number of fuzzy set operations must be reduced. For this, we use a fuzzy compiled structure of knowledge, like Rete, because it is required for real-time responses. Solving the match-time predictability problem would allow us to built much more powerful reasoning techniques.Download Info
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.Bibliographic Info
Article provided by "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration in its journal Economics and Applied Informatics.
Volume (Year): (2009)
Issue (Month): 2 ()
Pages: 127-138
Contact details of provider:
Postal: No. 59-61, Nicolae Balcescu Street, Postal Code 800008, Galati
Phone: (0040) 336.130.242
Fax: (0040) 336.130.242
Email:
Web page: http://www.feaa.ugal.ro
More information through EDIRC
Related research
Keywords: Computational Intelligence; FT-Algorithm; ICS; Knowledge Formalism;Find related papers by JEL classification:
- D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
- C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
References
No references listed on IDEASYou can help add them by filling out this form.
Citations
Lists
This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.Statistics
Access and download statisticsCorrections
When requesting a correction, please mention this item's handle: RePEc:ddj:fseeai:y:2009:i:2:p:127-138For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Gianina Mihai).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.

