Expert Systems are entering a critical stage as interest spreads from university research to practical applications. The proposed Expert system is expected to solve the problems faced in an educational institute for gathering information for management level from the faculty level. Depending on the level of authorization the system will respond and provide a satisfactory answer for the query posed. Both essential and desirable features of an expert system are discussed. Components of an adaptive system are identified, with an emphasis on the mechanisms that enable adaptive behavior to occur. Knowledge representation in a rule-based, object-orientated expert system is described through the establishment of appropriate relationships utilizing heuristic rules, objects, and agents. The experimental expert system displays low level learning capabilities that show sufficient promise to warrant further research. .
CITATION STYLE
Agrawal, R., & Singh, J. (2013). An Adaptive Expert System for an Educational Institute An Adaptive Expert System for an Educational Institute. IJCSN International Journal of Computer Science and Network ISSN, 2(3), 2277–5420. Retrieved from www.ijcsn.org
Mendeley helps you to discover research relevant for your work.