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Table 2 Individual and general knowledge

From: Case-based medical informatics

  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.