Traditionally, AI has been dominated by symbolic approaches.
Symbolic AI:
- Knowledge represented by the relationship between discrete
symbols: the red block is on the table.
- Reasoning takes place by manipulating symbols.
- Very ``binary'' or ``linguistic'' in nature.
Numeric AI:
- Numbers are used to represent intermediate degrees of knowledge:
great for learning, optimizing, and representing less crisp notions.
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