Abstract
Good tree search algorithms are a key requirement for inference engines of rule languages. As Prolog exemplifies, inference engines based on traditional uninformed search methods with their well-known deficiencies are prone to compromise declarativity, the primary concern of rule languages. The paper presents a new family of uninformed search algorithms that combine the advantages of the traditional ones while avoiding their shortcomings. Moreover, the paper introduces a formal framework based on partial orderings, which allows precise and elegant analysis of such algorithms.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Form of publication: | Postprint |
| Faculties: | Mathematics, Computer Science and Statistics > Computer Science |
| Subjects: | 000 Computer science, information and general works > 004 Data processing computer science |
| URN: | urn:nbn:de:bvb:19-epub-17298-0 |
| Place of Publication: | Berlin u.a. |
| Annotation: | The final publication is available at link.springer.com |
| Language: | English |
| Item ID: | 17298 |
| Date Deposited: | 22. Oct 2013 09:27 |
| Last Modified: | 13. Aug 2024 12:52 |

