Abstract
Through two case studies, TEAS and MARLOWE, Prolog is evaluated both as a language for writing expert systems shells and as a language for knowledge representation. These systems were chosen because they represent two different classes of expert system. TEAS uses exact inference and is concerned with representing government legislation. MARLOWE is used for white collar crime risk analysis and is an example of systems that reason with uncertain data or knowledge where both the domain and the expert's knowledge may be imprecise.
| Original language | English |
|---|---|
| Title of host publication | Prolog for Expert Systems |
| Subtitle of host publication | An Evaluation |
| Editors | Kamal N. Karna |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Pages | 284-294 |
| Number of pages | 11 |
| ISBN (Print) | 081860686X |
| Publication status | Published - 1985 |
| Externally published | Yes |
