{Knowledge Representation...

Computerized knowledge is generally represented in the form of heuristics or rules that can be applied to raw data to answer specific questions. Although this is the most common form of knowledge representation, these rules are expensive to develop, risky to use and challenging to maintain. Everyday computer programs can be viewed in this way.

Other methods are available but each has drawbacks. The specific knowledge domain, context, costs and many other factors need to be considered when deciding on how the knowledge will be represented in the system. Other common forms of knowledge representation include:

• Frames
• Neural Networks
• Semantic Networks

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