This knowledge is less general than declarative knowledge and is also referred to as imperative knowledge. These can be things, events, or processes, with the domain of such knowledge determining the relationship between events or things. It is the knowledge segment that stores factual information in a memory and appears to be static in nature. They are capable of solving complex problems in real-world scenarios that are difficult and time-consuming for humans to interpret with the help of such complex thinking Knowledge representation is used in such cases.ĪI agents in knowledge representation algorithms tend to think and contribute to decision-making. Humans acquire many distinct kinds of knowledge in their daily lives, but machines struggle to interpret all of them. Knowledge representation is one such methodology that is dependent on the logical situation and allows a strategy to make a decision in the acquisition of knowledge. In such a system, it is absolutely necessary to digitize a knowledge processing system. There are many complex tasks in the field of AI that must be evaluated, whether in the field of machine learning or deep learning.
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