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.
Dokumententyp: | Konferenzbeitrag (Paper) |
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Publikationsform: | Postprint |
Fakultät: | Mathematik, Informatik und Statistik > Informatik |
Themengebiete: | 000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik |
URN: | urn:nbn:de:bvb:19-epub-17298-0 |
Ort: | Berlin u.a. |
Bemerkung: | The final publication is available at link.springer.com |
Sprache: | Englisch |
Dokumenten ID: | 17298 |
Datum der Veröffentlichung auf Open Access LMU: | 22. Okt. 2013, 09:27 |
Letzte Änderungen: | 13. Aug. 2024, 12:52 |