What is symbolic reasoning in AI?
Symbolic reasoning in AI refers to the manipulation of symbols to represent knowledge and solve problems.
How does it differ from other AI approaches?
Unlike statistical methods, symbolic reasoning focuses on explicit rules and logic to derive conclusions.
Can you give an example of symbolic reasoning in action?
Sure! An example is using logic-based systems to prove mathematical theorems or solve puzzles.
What are the limitations of symbolic reasoning?
Limitations include difficulty in handling uncertainty and the complexity of representing real-world knowledge.
Is symbolic reasoning still relevant in modern AI?
Yes, it remains relevant, especially in areas like knowledge representation and expert systems.
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