Validating the Knowledge Representation Models

—Knowledge representation models that can be used in any intelligent system (IS) are being proposed and in usage over the past four decades, and still newer models are being designed for the evolving intelligent systems world. The knowledge representation models that were proposed in our earlier works are being applied empirically in semi-controlled intelligent systems to validate in four dimensions: representability, existential validity, performance and scalability. The results are so significant and are helpful in providing an insight into the build of the IS in terms of design, functional and storage. The future directions of this work would be apply there representation models in realtime intelligent systems and study their performance and scalability.