Name
Abstract | ||
|---|---|---|
Rule-based inference systems allow judgmental knowledge about a specific problem domain to be represented as a collection of discrete rules. Each rule states that if certain premises are known, then certain conclusions can be inferred. An important design issue concerns the representational form for the premises and conclusions of the rules. We describe a rule-based system that uses a partitioned semantic network representation for the premises and conclusions. |
Year | DOI | Venue |
|---|---|---|
1977 | 10.1145/1045343.1045351 | SIGART Newsletter |
Field | DocType | Volume |
Problem domain,Rule based inference,Computer science,Inference,Semantic network,Artificial intelligence,Natural language processing,Rule of inference | Journal | 63 |
Issue | Citations | PageRank |
63 | 21 | 43.79 |
References | Authors | |
2 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Richard O. Duda | 1 | 2259 | 1051.01 |
| Peter E. Hart | 2 | 6464 | 2220.68 |
| Nils J. Nilsson | 3 | 624 | 477.26 |
| Georgia L. Sutherland | 4 | 21 | 43.79 |