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A Web-Based Intelligent Tutoring System Using Hybrid Rules as Its Representational Basis.

, , and . Intelligent Tutoring Systems, volume 2363 of Lecture Notes in Computer Science, page 119-128. Springer, (2002)

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Producing Modular Hybrid Rule Bases for Expert Systems., and . FLAIRS, page 181-185. AAAI Press, (2000)Knowledge Representation Requirements for Intelligent Tutoring Systems., and . Intelligent Tutoring Systems, volume 3220 of Lecture Notes in Computer Science, page 87-97. Springer, (2004)Using Clustering Algorithms to Improve the Production of Symbolic-Neural Rule Bases from Empirical Data., and . Int. J. Artif. Intell. Tools, 27 (2): 1850002:1-1850002:36 (2018)Rule-based update methods for a hybrid rule base., and . Data Knowl. Eng., 55 (2): 103-128 (2005)Updating a Hybrid Rule Base with Changes to its Symbolic Source Knowledge., and . ECAI, page 250-254. IOS Press, (2002)Controlling the Production of Neuro-symbolic Rules., and . ICTAI, page 1053-1058. IEEE Computer Society, (2012)A GA Driven Intelligent System for Medical Diagnosis., , , and . KES (1), volume 4251 of Lecture Notes in Computer Science, page 968-975. Springer, (2006)Designing an Adaptive Web-based Training System., , , , and . WebNet, page 205-210. AACE, (2000)Incrementally updating a hybrid rule base based on empirical data., and . Expert Syst. J. Knowl. Eng., 24 (4): 212-231 (2007)Integrating Hybrid Rule-Based with Case-Based Reasoning., and . ECCBR, volume 2416 of Lecture Notes in Computer Science, page 336-349. Springer, (2002)