What are the main challenges in symbolic AI?
Symbolic AI faces several challenges, including knowledge representation, reasoning, and handling uncertainty.
Can you explain knowledge representation in more detail?
Knowledge representation involves encoding information about the world in a format that a computer system can utilize to solve complex tasks.
What about reasoning? Why is it difficult?
Reasoning in symbolic AI is challenging because it requires the system to draw conclusions from the represented knowledge, which can be complex and computationally intensive.
How does uncertainty affect symbolic AI?
Uncertainty complicates decision-making in symbolic AI, as it must account for incomplete or ambiguous information, which is difficult to model.
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