Affiliation:
1. Gautam Buddha University, India
Abstract
The quality of higher education can be enhanced only by upgrading the content and skills towards knowledge. Hence, knowledge representation and reasoning play a chief role to represent the facts, beliefs, and information, and inferring the logical interpretation of represented knowledge stored in the knowledge bases. This chapter provide a broad overview of knowledge, representation, and reasoning along with the related art of study in the field of higher education. Various artificial intelligent-based knowledge representation and reasoning techniques and schemes are provided for better representation of facts, beliefs, and information. Various reasoning types are discussed in order to infer the right meaning of the knowledge followed by various issues of knowledge representation and reasoning. .
Reference20 articles.
1. Knowledge representation in education: Diagramming Carroll's syllogisms
2. Brachman, R. J., & Levesque, H. J. (2004). Knowledge Representation and Reasoning. Elsevier.
3. Breuker, J., & Muntjewerff, A. (1999). Ontological Modelling for Designing Educational Systems. Proceedings of the AI & Education, 101-122.
4. Chakarborty, R. C. (2010). Knowledge Representation. Retrieved from http://www.myreaders.info/03_Knowledge_Representations.pdf
5. Abductive Artificial Intelligence Learning Models
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