Knowledge Representation
Knowledge Representation is the process of representing knowledge in a way that can be understood, interpreted, and used by machines. It involves creating a structured model of knowledge that can be used to reason about complex problems and make decisions. The goal of knowledge representation is to enable machines to understand and manipulate knowledge in a way that is similar to human cognition. This involves identifying the key concepts, relationships, and rules that govern a particular domain of knowledge, and representing them in a way that can be easily processed by machines. Knowledge representation is a critical component of many AI applications, including natural language processing, expert systems, and machine learning.
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