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Knowledge representation and reasoning (KRR, KR&R, or KR²) is a field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can use to solve complex tasks, such as diagnosing a medical condition or having a natural-language dialog.
Watson also has the capacity for knowledge representation and reasoning, which is essentially learning by context and employing language flexibility, like the intellectual flexibility needed in ...
In artificial intelligence, symbolic artificial intelligence (also known as classical artificial intelligence or logic-based artificial intelligence) [1] [2] is the term for the collection of all methods in artificial intelligence research that are based on high-level symbolic (human-readable) representations of problems, logic and search. [3]
A frame language is a technology used for knowledge representation in artificial intelligence. They are similar to class hierarchies in object-oriented languages although their fundamental design goals are different. Frames are focused on explicit and intuitive representation of knowledge whereas objects focus on encapsulation and information ...
“Neurosymbolic AI seems to be one of the necessary steps to achieve AGI at some point in the future, because we need this better reasoning and more reliable intelligence than we have today ...
Former OpenAI chief scientist Ilya Sutskever, one of the biggest names in artificial intelligence, had a prediction to make on Friday: reasoning capabilities will make technology far less predictable.
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