|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).
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.|