| General knowledge | Individual knowledge |
---|---|---|
Example | Explicit general propositions, rules, algorithms, guidelines and formal theories for recognizing faces of people (e.g., a formal theory of human face recognition). | The implicit knowledge used to recognize and the explicit knowledge (e.g., textual description) that would allow recognizing the face of a specific person. |
Complexity | Very lean, abstract, symbolic. | Varies from rich to lean. |
Acquisition | Identical to acquisition of explicit knowledge. | Identical to acquisition of both implicit and explicit knowledge. |
Representation Transferability | Very structured, highly transferable, explicitly as general propositions, rules and guidelines. | Varies from unstructured to less structured. Transferable in both implicit and explicit form. |
Context retention Applicability | Does not retain context. Easy applicable to generic problems, difficult to apply to specific problem instances (e.g., recognition of the face of a specific person). | Retains context. Well applicable to specific problem instances, especially if context retention is high. |
Processing mechanisms | Logic reasoning. | Pattern recognition, feature selection, associative recall, case-based reasoning. |