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.
Very lean, abstract, symbolic.
Varies from rich to lean.
Identical to acquisition of explicit knowledge.
Identical to acquisition of both implicit and explicit knowledge.
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.
Pattern recognition, feature selection, associative recall, case-based reasoning.