Knowledge Representation
Concept**Knowledge representation (KR)** is an artificial intelligence technique for encoding domain knowledge so that software systems can reason with it, reuse it, and apply it automatically. In the context of IBM’s constraint-based random stimuli generation for hardware verification, knowledge representation is used to capture architectural models, functional behavior, and expert verification knowledge in an ontology-driven form.[3d5e3f94-51ae-4f10-952b-e9a39be789c1]
WIKI
Knowledge Representation
Knowledge representation (KR) is an artificial intelligence technique for encoding domain knowledge so that software systems can reason with it, reuse it, and apply it automatically. In the context of IBM’s constraint-based random stimuli generation for hardware verification, knowledge representation is used to capture architectural models, functional behavior, and expert verification knowledge in an ontology-driven form.[1]
Role in Hardware Verification
NEIGHBORHOOD
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