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Domain |
Parts |
Remarks |
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What is knowledge? |
- Conclusive insights, implications, concepts & fundamentals
- Facts & relationships
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Data organized into Information synthesized into Knowledge
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Representation? |
- Encoding, abstraction into other means of storage ready for processing
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Techniques like propositional & predicate logic used for resolution & unification to provide insights
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Knowledge representation? |
- Process of encoding knowledge
- 1) procedural: programming
- 2) declarative: AI
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should be easily understood, easy to process & unambiguous
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What are types of K.R.? |
- Frames: slots (data), fillers (procedures)
- Semantic nets: relationships between concepts
- Bayesian network: causal, probabilistic relations, uncertain
- Knowledge base: expert system's specific knowledge domain
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Knowledge Interchange Format (KIF): language allowing exchange of knowledge
Machine learning: acquisition & synthesizing for learning under uncertainty
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