Models, Algorithms, and Architecture for Generating Adaptive Decision Support Systems

Abstract

A method for generating adaptive decision support systems is examined in this paper. Models, algorithms, and programming technology making possible the use of knowledge of distributed experts for system adaptation to environmental variation that increases its life-cycle and the efficiency of decision-making processes are presented. The multicomponent adaptive model of a subject domain for the problem on decision-making and algorithms of structure and information adaptation of the model are given. The open architecture of the adaptive decision support system in federation form is also presented. The architecture is developed according to the concept of distributed simulation standard High Level Architecture and it secures component compatibility, interaction possibility, and reuse.