1. Knowledge and Preferences Rögnvaldur J. Sæmundsson ABMS Sept 1

2. Data Information Knowledge

3. Fallible – can be improved - learning Incomplete – uncertainty - learning Hierarchical – “Atoms” are linked Combinative and generative potential

4. Characteristics of knowledge “Paradigmatic” vs “critial” “Substantive” vs “procedureal” “Tacit” vs “explicit” –Structured vs unstructured –Generic vs specific

5. Preferences Needs and Values Interests and motives Goals and objectives More difficult to change