CASPIAN JOURNAL

MANAGEMENT AND HIGH TECHNOLOGIES

Gathering of information on forecast technlogies based on automatic generation of intellectual agents for multi-agent system

2015. №4, pp. 141-148

Kravets A.D. - post-graduate student, Volgograd State Technical University, 28 Lenin Ave., Volgograd, 400005, Russian Federation, kad@gde.ru

Petrova I.Yu. - D.Sc. (Engineering), Professor, Astrakhan Institute of Civil Engineering, 18 Tatishchev St., Astrakhan, 414056, Russian Federation, irapet1949@gmail.com

Kravets A.G. - D.Sc. (Engineering), Professor, Volgograd State Technical University, 28 Lenin Ave., Volgograd, 400005, Russian Federation, agk@gde.ru

This article contains description of design process of the data gathering and analysis system as a realization of forming methods of a knowledge base as an informational core for innovation management system based on automated generation of intellectual agents for the multi-agent system. Knowledge base is filled by means of aggregation of heterogeneous information on forecast technologies from open sources. Authors analyzed current state of subject area of forecast technologies and proved the relevance of system which is able of gathering data on forecast technologies. Realization of the system is based on a multi-agent technology. During development process of multi-agent system authors implemented a new method of system design based on automatic generation of intellectual agents for multi-agent system. Article contains information on steps performed in the process of multi-agent system of gathering, processing and integration of information on forecast technologies development respectively to the method. Implementation of the method allowed reduction of development time, decrease of losses and mistakes in gathered data, reduction of management costs.

Key words: мультиагентные системы, генерация систем, интеллектуальные методы, визуальное программирование, компонентно-ориентированный подход, перспективные технологии, multi-agent systems, system generation, intellectual methods, visual programming, component-based

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