Artificial Intelligence and Knowledge Based Systems Technologies

D. R. Robert Joan*
Assistant Professor of Mathematics, Christian College of Education, Marthandam, India.
Periodicity:December - February'2015
DOI : https://doi.org/10.26634/jit.4.1.3275

Abstract

Artificial Intelligence is the key technology in new applications, ranging from banking systems that detect attempted credit card fraud, to telephone systems that understand speech, to software systems that notice when you're having problems and offer appropriate advice. These technologies would not exist today without the sustained federal support of fundamental artificial intelligence research. At present, knowledge-based system technology requires the means to provide efficient and robust knowledge bases, while database system technology lacks knowledge representation and reasoning capabilities. The time has come to face the complex research problems that must be solved before we can design and implement real, large scale software systems that depend on knowledge-based processing. The essential of technology use operational level for knowledge-based system applications. In this article the author discussed artificial intelligence and knowledge based systems technologies and their applications.

Keywords

Artificial Intelligence, Technology, Knowledge-Based System, Frame-Based Systems, Production Rules, Intelligent Agent, Expert System.

How to Cite this Article?

Joan. R (2015). Artificial Intelligence and Knowledge Based Systems Technologies. i-manager’s Journal on Information Technology, 4(1), 1-5. https://doi.org/10.26634/jit.4.1.3275

References

[1]. Brodie, L., & Mylopoulos, J. (1986). Integrating Artificial Intelligence and Database Technologies. On Knowledge Base Management Systems, Vol.XXI, pp. 660, ISBN: 978-1-4612-4980-1.
[2]. Damiani, E., Howlett, R. J., Jain, L. C., & Ichalkaranje, N. (2002). Artificial Intelligence and Applications. Sixth Edition of the Knowledge-Based Intelligent Information & Engineering Systems International Conference, Vol. 82, pp.1622, ISBN: 978-1-58603-280-7.
[3]. Dodiya, I., (2013). GRA - Intelligent Library Systems: Artificial Intelligence Technology. Global Research Analysis, Vol 2(5), pp 112-114, ISSN: 2277-8160.
[4]. Engelmore, R., & Feigenbaum, E. (1993). Expert systems and artificial intelligence. Retrieved from http://www.wtec.org/loyola/kb/c1_s1.htm
[5]. Feigenbaum, E., Friedland, P., Johnson, B., & Shrobe, H. (1993). “Applications of knowledge - based systems in japan”. http://www.wtec.org/loyola/kb/c2_s1.htm
[6]. Hayes-Roth, F., Waterman, D., & Lenat, D. (1983). Building Expert Systems. Addison-Wesley. ISBN 0-201- 10686-8.
[7]. Jarke, M., Neumann, B., Vassiliou, Y., & Wahlster, W. (1989). “KBMS Requirements of Knowledge-Based Systems”. In: J. W. Schmidt and C. Thanos (eds.): Foundations of Knowledge Base Management: Contributions from Logic, Databases, and Artificial Intelligence. Berlin: Springer, pp 391-195.
[8]. Kurzweil, R. (1999). “Artificial Intelligence”. The Age of Spiritual Machines, NY: Penguin Books, 66.
[9]. Newell, A., & Simon, H. A. (1972). Human Problem Solving. Engle wood Cliffs, NJ: Prentice-Hall. http://ai.ato.ms/MITECS/Entry/davis.html
[10]. Smith, R. (1985). Knowledge-Based Systems: Concepts, Techniques, Examples. Canadian High Technology Show, Ottawa, Canada, Retrieved from http://en.wikipedia.org/wiki/Knowledge-based_systems
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