Parallel inference in dynamic decision support systems of a semiotic type
Yükleniyor...
Dosyalar
Tarih
2004
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
SPRINGER
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
The organization of parallel inference in dynamic decision support systems (DDSS) of a semiotic type, oriented towards a solving of ill-formed problems in dynamic applied domains, is considered. As a knowledge representation model, there are used production rules reflecting expert knowledge about a problem domain, an environment and decision making processes. The main concepts and assertions defining possibility and impossibility of parallel executing the production rules are given. Several types of parallelism in an inference process are introduced. The corresponding algorithm of parallel inference is described. Thus, the purpose of this paper is to develop and to research parallel inference methods and procedures that provide efficient processing a large amount of production rules for DDSS of a semiotic type.
Açıklama
3rd International Symposium on Intelligent Manufacturing Systems -- AUG 30-31, 2001 -- Sakarya, TURKEY
Anahtar Kelimeler
dynamic decision support system, sentiotic model, parallel execution, non-deterministic choice, parallel inference
Kaynak
JOURNAL OF INTELLIGENT MANUFACTURING
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
Cilt
15
Sayı
4
