What is the fundamental difference between symbolic AI and connectionist AI regarding knowledge representation?
- Symbolic AI focuses on general problem-solving, while Connectionist AI specializes in narrow tasks.
- Symbolic AI is rule-based, while Connectionist AI is rule-free.
- Symbolic AI relies on expert systems, while Connectionist AI uses statistical techniques.
- Symbolic AI uses explicit rules and symbols, while Connectionist AI uses neural networks and distributed representations.
The fundamental difference is that Symbolic AI uses explicit rules and symbols for knowledge representation, whereas Connectionist AI relies on neural networks and distributed representations. Symbolic AI is rule-based and highly structured, whereas Connectionist AI is more flexible and connection-driven.
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