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The concept of a software complex for interdisciplinary problems solving based on self-organization principle

Авторы: Berman A., Nikolaychuk O., Pavlov A.

Журнал: CEUR Workshop Proceedings: 3rd Scientific-Practical Workshop Information Technologies: Algorithms, Models, Systems (ITAMS 2020; Irkutsk, 3 September 2020)

Том: 2677


Год: 2020

Отчётный год: 2020


Местоположение издательства:


Аннотация: The paper presents the concept of a software complex for solving interdisciplinary problems based on self-organization features. In particular, the basic principles and stages of self-organization process during solving an interdisciplinary problems of designing complex technical systems, as well as the architecture of proposed software along with some details of implementation are considered. The architecture of the software complex includes subject and problem ontologies, data and knowledge bases, set of "solvers" as well as intelligent scheduler. The intelligent scheduler implements the self-organization algorithm and provides creation the computing environment for solving considered problem using "solvers" as a buildings blocks. The implementation of self-organizing algorithm base on combination of knowledge representation as an ontologies, group decision-making, component and model-oriented approaches. Self-organization features in context of designing complex technical systems task are implemented on the stages of defining the design methodology, determining the source data, solving the problem, and training the system. The intelligent scheduler can analyze the state of current task with set of indicators and manage it through a set of local rules. This paper presents examples of local rules for each stage. The stages specifications in the form of technological diagrams that contains components used ("solvers"), their connections along with the results of their work describe the self-organization process features related to each stage. The software implementation are based on the capabilities of the used platform for creating knowledge-based systems developed by the authors and component approach applied to specialized component development.

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