Example of knowledge base constructed from the information in pages
1-25 of Blaikie et al. (1994). The facts are in a form which could be understood
by the AI language, prolog.
| effect("road network",+,"urban diseases",+,1,16). |
| effect("urban diseases",+,"disaster vulnerability",+, 1,16). |
| effect("road network",+,"access to clinics",+, 1,16). |
| effect("access to clinics",+,"disaster vulnerability",-,1,16). |
| effect("road network",+,"arable land",-,1,16). |
| effect("arable land",-,"famine vulnerability",+,1,16). |
| effect("road network",+,"access to food sources",+,1,16). |
| effect("access to food sources",+,"disaster vulnerability",-, 1,16). |
| effect("road network",+,"drift to cities",+, 1,16). |
| effect("drift to cities",+,"local labor",-,1,16). |
| effect("local labor",-,"crop yield",-,1,16). |
| effect("crop yield",-,"famine vulnerability",+,1,16). |
| effect("local labor",-,"building maintenace",-,1,16). |
| effect("building maintenace",-,"earthquake vulnerability",+, 1,16). |
| effect("local labor",-,erosion,+,1,16). |
| effect("drift to cities",+,migration,+,1,16). |
| effect(migration,+,"local institutions",-,1,25). |
| effect(migration,+,"local knowledge",-,1,25). |
| effect("local knowledge",+,"familiarity with land",+, 1,25). |
| effect("familiarity with land",-,income,-,1,17). |
| effect("familiarity with land",-,nutrition,-,1,17). |
| effect(nutrition,-,malnourishment,+,1,24). |
| effect(malnourishment,+,"disaster vulnerability",+, 1,24). |