Hybrid Systems for Knowledge Representation in Artificial Intelligence
  There are few knowledge representation (KR) techniques available for
efficiently representing knowledge. However, with the increase in complexity,
better methods are needed. Some researchers came up with hybrid mechanisms by
combining two or more methods. In an effort to construct an intelligent
computer system, a primary consideration is to represent large amounts of
knowledge in a way that allows effective use and efficiently organizing
information to facilitate making the recommended inferences. There are merits
and demerits of combinations, and standardized method of KR is needed. In this
paper, various hybrid schemes of KR were explored at length and details
presented.
