Parallel inference in dynamic decision support systems of a semiotic type
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Date
2004
Journal Title
Journal ISSN
Volume Title
Publisher
SPRINGER
Access Rights
info:eu-repo/semantics/openAccess
Abstract
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.
Description
3rd International Symposium on Intelligent Manufacturing Systems -- AUG 30-31, 2001 -- Sakarya, TURKEY
Keywords
dynamic decision support system, sentiotic model, parallel execution, non-deterministic choice, parallel inference
Journal or Series
JOURNAL OF INTELLIGENT MANUFACTURING
WoS Q Value
Q2
Scopus Q Value
Q1
Volume
15
Issue
4
