Vatuiu, Teodora (2007): Analyze of the Measuring Performance for Artificially Business Intelligent Systems. Published in: Proceedings of the 7-th international scientifics conference Globalisation – social and economic impacts`07, Zilina , Vol. 1, (3 October 2007): pp. 602-608.
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Abstract
This paper analyzes the measuring performance of artificially business intelligent systems. Thousands of persons-years have been devoted to the research and development in the vari¬ous aspects of artificially intelligent systems. Much progress has been attained. However, there has been no means of evaluating the progress of the field. How can we assess the cur¬rent state of the science? Most of business intelligent systems are beginning to be deployed commercially. How can a commercial buyer evaluate the advantages and disadvantages of the intelligent candidate and decide which system will perform best for their business applica¬tion? If constructing a system from existing components, how does one select the one that is most appropriate within the desired business intelligent systems? The ability to measure the capabilities of business intelligent systems or components is more that an exercise in satisfy¬ing intellectual or philosophical curiosity. Without measurements and subsequent quantitative evaluation, it is difficult to gauge progress. It is both in a spirit of scientific enquiry and for pragmatic motivations that we embark on the quest for metrics for performance and intelli¬gence of business intelligent systems.
Item Type: | MPRA Paper |
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Original Title: | Analyze of the Measuring Performance for Artificially Business Intelligent Systems |
Language: | English |
Keywords: | artificially intelligent systems, analyze of the measuring performance, business intelligent systems, metrics for performance, meas¬urement performance |
Subjects: | D - Microeconomics > D8 - Information, Knowledge, and Uncertainty D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D85 - Network Formation and Analysis: Theory |
Item ID: | 12389 |
Depositing User: | Teodora C. Vatuiu |
Date Deposited: | 27 Dec 2008 15:54 |
Last Modified: | 01 Oct 2019 01:36 |
References: | ALBUS, J.S., 1991- Outline for a Theory of Intelligence. IEEE Systems, Man, and Cybernetics, Vol 21, No. 3, pp. 473-509, FINKELSTEIN, R., 2000- A Method for Evaluation the „IQ” of Intelligent Systems,Proceedings of the Performance Metrics for Intelligent Systems Workshop, Gaithersburg, MESSINA, E., MEYSTEL, A., and REEKER., L., 2001- Measuring Performance and Intelligence of Intelligent Systems, Proceedings of the 2001 Performance Metrics for Intelligent Systems (PerMIS) Workshop, in association with IEEE CCA and ISIC, Mexico City, Mexico, RASMUSSEN, J., 1986- Information Processing and Human-Machine Interaction. An Approach to Cognitive Engineering, Volume 12, North-Holland/Elsevier Science, NY,Amsterdam, REEKER, L., 2000- Theoretical Constructs and Measurement of Performance and Intelligence in Intelligent Systems, Proceedings of the Workshop on Performance Metrics for Intelligent Systems Workshop, Gaithersburg, SIMON, H.A., 1996 - The Sciences of the Artificial, Third edition, Cambridge, MA, M IT Press. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/12389 |